EP0766202A2
Expired / Lapsed
EP
⏱️ 0.0 years remaining
Image processing method and apparatus
Assignee: Fujifilm Holdings Corp
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Filing: 1996-09-27
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Granted: —
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Expires: 2016-09-27
Abstract
Abstract A filtering process and an interpolating operation process are carried out in steps on an original image signal and, in the respective steps, a plurality of unsharp image signals are formed, which represent images having the same size as the size of the original image and have different frequency characteristics. Band-limited image signals are formed from the unsharp image signals and the original image signal, restricted by conversion, and integrated. An integration signal composed of predetermined frequency components of the original image signal is thereby formed. The frequency emphasis processing is carried out by multiplying the integration signal by an emphasis coefficient, and adding the resulting product to the original image signal. The dynamic range compressing process is carried out by converting a difference signal, which is obtained by subtracting the integration signal from the original image signal, and adding the converted difference signal to the original image signal. An artifact is thereby prevented from occurring at a region in the vicinity of an edge.
Inventors
- 👤 Wataru Fuji Photo Film Co. Ltd. Ito
- 👤 Masahiko Fuji Photo Film Co. Ltd. Yamada
Bibliographic Details
Application Number
—
Jurisdiction
EP
Data Source
google_patents
Last Synchronized
2026-11-09 11:58
CPC Classifications
G; G06; G06T; G06T3/00; G06T3/40; G06T3/4007; G06T3/403; G06T5/00; G06T5/10; G06T5/73; G06T5/75; G06V; G06V10/00; G06V10/20; G06V10/30
Claims Analysis
Total Claims: 226
Claim 1
Independent Claim
186 words
A multi-resolution transforming method, wherein an original image constituted of a lattice-like array of picture elements, which are located at predetermined intervals along the rows and columns of the lattice-like array, is transformed into a multi-resolution space, the method comprising the steps of: i) carrying out a filtering process on the original image, the filtering process being carried out by using a filter having a predetermined size and with respect to each of picture elements selected at predetermined intervals, a first filtering-processed image being thereby obtained, ii) carrying out said filtering process on said first filtering-processed image, a second filtering-processed image being thereby obtained, iii) successively carrying out said filtering process on the respective filtering-processed images, which are thus obtained successively, the original image being thereby transformed into a plurality of images having different levels of resolution, and iv) carrying out an interpolating operation process on each of the plurality of said images having different levels of resolution, whereby multi-resolution transformed images, each of which is constituted of the same number of picture elements as that of the picture elements constituting the original image, are obtained.
Claim 2
Dependent Claim
190 words
A multi-resolution transforming apparatus, wherein an original image constituted of a lattice-like array of picture elements, which are located at predetermined intervals along the rows and columns of the lattice-like array, is transformed into a multi-resolution space, the apparatus comprising: i) a filtering means for transforming the original image into a plurality of images having different levels of resolution by: carrying out a filtering process on the original image, the filtering process being carried out by using a filter having a predetermined size and with respect to each of picture elements selected at predetermined intervals, a first filtering-processed image being thereby obtained, carrying out said filtering process on said first filtering-processed image, a second filtering-processed image being thereby obtained, and successively carrying out said filtering process on the respective filtering-processed images, which are thus obtained successively, and ii) an interpolating operation means for carrying out an interpolating operation process on each of the plurality of said images having different levels of resolution, and thereby obtaining multi-resolution transformed images, each of which is constituted of the same number of picture elements as that of the picture elements constituting the original image.
Claim 3
Dependent Claim
199 words
An image processing method, wherein a signal concerning high frequency components of an original image is added to an original image signal, which represents the original image, and the high frequency components of the original image are thereby emphasized, the method comprising the steps of: i) forming a plurality of unsharp mask image signals, which have different frequency response characteristics, from the original image signal, ii) forming a plurality of band-limited image signals, each of which represents one of signals falling within a plurality of different frequency bands of the original image signal, from the original image signal and the plurality of said unsharp mask image signals, or from the plurality of said unsharp mask image signals, iii) carrying out a converting process on at least a single band-limited image signal, which is among the plurality of said band-limited image signals, such that at least a portion of the band-limited image signal may become small, a plurality of converted image signals being thereby formed, and iv) integrating the plurality of said converted image signals, whereby the signal concerning the high frequency components of the original image, which signal is to be added to the original image signal, is obtained.
Claim 4
Dependent Claim
76 words
An image processing method as defined in Claim 3 wherein the formation of the plurality of said converted image signals is carried out by converting a band-limited image signal having a signal value, the absolute value of which is larger than a predetermined threshold value, such that the absolute value of the signal value of the band-limited image signal, which absolute value is larger than the predetermined threshold value, may be converted to a small value.
Claim 5
Dependent Claim
120 words
An image processing method as defined in Claim 4 wherein the formation of the plurality of said converted image signals is carried out by converting a band-limited image signal such that, as the absolute value of the signal value of the band-limited image signal becomes larger than the predetermined threshold value, the absolute value of the signal value of the band-limited image signal may be converted to a small value, and such that, as the absolute value of the signal value of the band-limited image signal becomes smaller than a different threshold value, which is smaller than the predetermined threshold value, the absolute value of the signal value of the band-limited image signal may be converted to a small value.
Claim 6
Dependent Claim
60 words
An image processing method as defined in Claim 4 wherein the formation of the plurality of said converted image signals is carried out by converting a band-limited image signal such that the level of the absolute value of the signal value of the band-limited image signal may be changed in accordance with the frequency band of the band-limited image signal.
Claim 7
Dependent Claim
60 words
An image processing method as defined in Claim 5 wherein the formation of the plurality of said converted image signals is carried out by converting a band-limited image signal such that the level of the absolute value of the signal value of the band-limited image signal may be changed in accordance with the frequency band of the band-limited image signal.
Claim 8
Dependent Claim
81 words
An image processing method as defined in Claim 3 wherein the formation of the plurality of said converted image signals is carried out by converting a band-limited image signal in accordance with one of a plurality of functions, which vary for different frequency bands, such that the absolute value of the signal value of the band-limited image signal may be converted to a value, which is not larger than said absolute value and is determined in accordance with said absolute value.
Claim 9
Dependent Claim
93 words
An image processing method as defined in Claim 8 wherein each of the functions, which are used for the formation of said converted image signals, converts a band-limited image signal having a signal value, the absolute value of which is larger than a predetermined value, such that the value of the converted image signal may become approximately equal to a predetermined level, and wherein the functions are set such that, in a function for processing a high frequency band, said predetermined value is set to be smaller than those in the other functions.
Claim 10
Dependent Claim
82 words
An image processing method as defined in Claim 8 wherein the functions, which are used for the formation of said converted image signals, are set such that, in a function for processing a low frequency band, the absolute value of the converted image signal, that is obtained when the band-limited image signal having a signal value, the absolute value of which falls within a predetermined range close to 0, is converted, may take a value smaller than those in the other functions.
Claim 11
Dependent Claim
82 words
An image processing method as defined in Claim 9 wherein the functions, which are used for the formation of said converted image signals, are set such that, in a function for processing a low frequency band, the absolute value of the converted image signal, that is obtained when the band-limited image signal having a signal value, the absolute value of which falls within a predetermined range close to 0, is converted, may take a value smaller than those in the other functions.
Claim 12
Dependent Claim
126 words
An image processing method as defined in Claim 3 wherein the formation of said band-limited image signals, the formation of said converted image signals, the formation of the signal concerning the high frequency components, and the addition of the signal concerning the high frequency components to the original image signal are carried out with the formula: Sproc=Sorg+β(Sorg)·Fusm(Sorg,Sus1,Sus2,...,SusN) Fusm(Sorg,Sus1,Sus2,...,SusN) ={f1(Sorg - Sus1)+f2(Sus1 - Sus2)+... +fk(Susk-1 - Susk)+...+fN(SusN-1 - SusN)} wherein Sproc represents the image signal, in which the high frequency components have been emphasized, Sorg represents the original image signal, Susk (k=1 to N) represents the unsharp mask image signal, fk (k=1 to N) represents the function for converting the band-limited image signal, and β(Sorg) represents the emphasis coefficient determined in accordance with the original image signal.
Claim 13
Dependent Claim
126 words
An image processing method as defined in Claim 4 wherein the formation of said band-limited image signals, the formation of said converted image signals, the formation of the signal concerning the high frequency components, and the addition of the signal concerning the high frequency components to the original image signal are carried out with the formula: Sproc=Sorg+β(Sorg)·Fusm(Sorg,Sus1,Sus2,...,SusN) Fusm(Sorg,Sus1,Sus2,...,SusN) ={f1(Sorg - Sus1)+f2(Sus1 - Sus2)+... +fk(Susk-1 - Susk)+...+fN(SusN-1 - SusN)} wherein Sproc represents the image signal, in which the high frequency components have been emphasized, Sorg represents the original image signal, Susk (k=1 to N) represents the unsharp mask image signal, fk (k=1 to N) represents the function for converting the band-limited image signal, and β(Sorg) represents the emphasis coefficient determined in accordance with the original image signal.
Claim 14
Dependent Claim
126 words
An image processing method as defined in Claim 8 wherein the formation of said band-limited image signals, the formation of said converted image signals, the formation of the signal concerning the high frequency components, and the addition of the signal concerning the high frequency components to the original image signal are carried out with the formula: Sproc=Sorg+β(Sorg)·Fusm(Sorg,Sus1,Sus2,...,SusN) Fusm(Sorg,Sus1,Sus2,...,SusN) ={f1(Sorg - Sus1)+f2(Sus1 - Sus2)+... +fk(Susk-1 - Susk)+...+fN(SusN-1 - SusN)} wherein Sproc represents the image signal, in which the high frequency components have been emphasized, Sorg represents the original image signal, Susk (k=1 to N) represents the unsharp mask image signal, fk (k=1 to N) represents the function for converting the band-limited image signal, and β(Sorg) represents the emphasis coefficient determined in accordance with the original image signal.
Claim 15
Dependent Claim
126 words
An image processing method as defined in Claim 3 wherein the formation of said band-limited image signals, the formation of said converted image signals, the formation of the signal concerning the high frequency components, and the addition of the signal concerning the high frequency components to the original image signal are carried out with the formula: Sproc=Sorg+β(Sorg)·Fusm(Sorg,Sus1,Sus2,...,SusN) Fusm(Sorg,Sus1,Sus2,...,SusN) =(1/N)·{f1(Sorg - Sus1)+f2(Sorg - Sus2)+... +fk(Sorg - Susk)+...+fN(Sorg - SusN)} wherein Sproc represents the image signal, in which the high frequency components have been emphasized, Sorg represents the original image signal, Susk (k=1 to N) represents the unsharp mask image signal, fk (k=1 to N) represents the function for converting the band-limited image signal, and β(Sorg) represents the emphasis coefficient determined in accordance with the original image signal.
Claim 16
Dependent Claim
126 words
An image processing method as defined in Claim 4 wherein the formation of said band-limited image signals, the formation of said converted image signals, the formation of the signal concerning the high frequency components, and the addition of the signal concerning the high frequency components to the original image signal are carried out with the formula: Sproc=Sorg+β(Sorg)·Fusm(Sorg,Sus1,Sus2,...,SusN) Fusm(Sorg,Sus1,Sus2,...,SusN) =(1/N)·{f1(Sorg - Sus1)+f2(Sorg - Sus2)+... +fk(Sorg - Susk)+...+fN(Sorg - SusN)} wherein Sproc represents the image signal, in which the high frequency components have been emphasized, Sorg represents the original image signal, Susk (k=1 to N) represents the unsharp mask image signal, fk (k=1 to N) represents the function for converting the band-limited image signal, and β(Sorg) represents the emphasis coefficient determined in accordance with the original image signal.
Claim 17
Dependent Claim
126 words
An image processing method as defined in Claim 8 wherein the formation of said band-limited image signals, the formation of said converted image signals, the formation of the signal concerning the high frequency components, and the addition of the signal concerning the high frequency components to the original image signal are carried out with the formula: Sproc=Sorg+β(Sorg)·Fusm(Sorg,Sus1,Sus2,...,SusN) Fusm(Sorg,Sus1,Sus2,...,SusN) =(1/N)·{f1(Sorg - Sus1)+f2(Sorg - Sus2)+... +fk(Sorg - Susk)+...+fN(Sorg - SusN)} wherein Sproc represents the image signal, in which the high frequency components have been emphasized, Sorg represents the original image signal, Susk (k=1 to N) represents the unsharp mask image signal, fk (k=1 to N) represents the function for converting the band-limited image signal, and β(Sorg) represents the emphasis coefficient determined in accordance with the original image signal.
Claim 18
Dependent Claim
126 words
An image processing method as defined in Claim 3 wherein the formation of said band-limited image signals, the formation of said converted image signals, the formation of the signal concerning the high frequency components, and the addition of the signal concerning the high frequency components to the original image signal are carried out with the formula: Sproc=Sorg+β(Sorg)·Fusm(Sus1,Sus2,...,SusN) Fusm(Sus1,Sus2,...,SusN) ={f2(Sus1 - Sus2)+f3(Sus2 - Sus3)+... +fk(Susk-1 - Susk)+...+fN(SusN-1 - SusN)} wherein Sproc represents the image signal, in which the high frequency components have been emphasized, Sorg represents the original image signal, Susk (k=1 to N) represents the unsharp mask image signal, fk (k=2 to N) represents the function for converting the band-limited image signal, and β(Sorg) represents the emphasis coefficient determined in accordance with the original image signal.
Claim 19
Dependent Claim
126 words
An image processing method as defined in Claim 4 wherein the formation of said band-limited image signals, the formation of said converted image signals, the formation of the signal concerning the high frequency components, and the addition of the signal concerning the high frequency components to the original image signal are carried out with the formula: Sproc=Sorg+β(Sorg)·Fusm(Sus1,Sus2,...,SusN) Fusm(Sus1,Sus2,...,SusN) ={f2(Sus1 - Sus2)+f3(Sus2 - Sus3)+... +fk(Susk-1 - Susk)+...+fN(SusN-1 - SusN)} wherein Sproc represents the image signal, in which the high frequency components have been emphasized, Sorg represents the original image signal, Susk (k=1 to N) represents the unsharp mask image signal, fk (k=2 to N) represents the function for converting the band-limited image signal, and β(Sorg) represents the emphasis coefficient determined in accordance with the original image signal.
Claim 20
Dependent Claim
127 words
An image processing method as defined in Claim 3 wherein the formation of said band-limited image signals, the formation of said converted image signals, the formation of the signal concerning the high frequency components, and the addition of the signal concerning the high frequency components to the original image signal are carried out with the formula: Sproc=Sorg+β(Sorg)·Fusm(Sus1,Sus2,...,SusN) Fusm(Sus1,Sus2,...,SusN) =(1/N)·{f2(Sus1 - Sus2)+f3 (Sus1 - Sus3)+... +fk(Sus1 - Susk)+...+fN(Sus1 - SusN)} wherein Sproc represents the image signal, in which the high frequency components have been emphasized, Sorg represents the original image signal, Susk (k=1 to N) represents the unsharp mask image signal, fk (k=2 to N) represents the function for converting the band-limited image signal, and β(Sorg) represents the emphasis coefficient determined in accordance with the original image signal.
Claim 21
Dependent Claim
126 words
An image processing method as defined in Claim 4 wherein the formation of said band-limited image signals, the formation of said converted image signals, the formation of the signal concerning the high frequency components, and the addition of the signal concerning the high frequency components to the original image signal are carried out with the formula: Sproc=Sorg+β(Sorg)·Fusm(Sus1,Sus2,...,SusN) Fusm(Sus1,Sus2,...,SusN) =(1/N)·{f2(Sus1 - Sus2)+f3(Sus1 - Sus3)+... +fk(Sus1 - Susk)+...+fN(Sus1 - SusN)} wherein Sproc represents the image signal, in which the high frequency components have been emphasized, Sorg represents the original image signal, Susk (k=1 to N) represents the unsharp mask image signal, fk (k=2 to N) represents the function for converting the band-limited image signal, and β(Sorg) represents the emphasis coefficient determined in accordance with the original image signal.
Claim 22
Dependent Claim
48 words
An image processing method as defined in Claim 3 wherein the formation of the plurality of said converted image signals is carried out by conducting a converting process on a band-limited image signal in accordance with the value of an emphasis coefficient, which is used for the emphasis.
Claim 23
Dependent Claim
48 words
An image processing method as defined in Claim 4 wherein the formation of the plurality of said converted image signals is carried out by conducting a converting process on a band-limited image signal in accordance with the value of an emphasis coefficient, which is used for the emphasis.
Claim 24
Dependent Claim
48 words
An image processing method as defined in Claim 8 wherein the formation of the plurality of said converted image signals is carried out by conducting a converting process on a band-limited image signal in accordance with the value of an emphasis coefficient, which is used for the emphasis.
Claim 25
Dependent Claim
48 words
An image processing method as defined in Claim 12 wherein the formation of the plurality of said converted image signals is carried out by conducting a converting process on a band-limited image signal in accordance with the value of an emphasis coefficient, which is used for the emphasis.
Claim 26
Dependent Claim
48 words
An image processing method as defined in Claim 15 wherein the formation of the plurality of said converted image signals is carried out by conducting a converting process on a band-limited image signal in accordance with the value of an emphasis coefficient, which is used for the emphasis.
Claim 27
Dependent Claim
48 words
An image processing method as defined in Claim 18 wherein the formation of the plurality of said converted image signals is carried out by conducting a converting process on a band-limited image signal in accordance with the value of an emphasis coefficient, which is used for the emphasis.
Claim 28
Dependent Claim
48 words
An image processing method as defined in Claim 20 wherein the formation of the plurality of said converted image signals is carried out by conducting a converting process on a band-limited image signal in accordance with the value of an emphasis coefficient, which is used for the emphasis.
Claim 29
Dependent Claim
90 words
An image processing method as defined in Claim 22 wherein said converting process varies for different frequency bands and is carried out such that, as for a band-limited image signal of a low frequency band, the band-limited image signal may be restricted strongly, and such that, as the value of said emphasis coefficient becomes large, the difference between the degree of restriction of a band-limited image signal of a high frequency band and the degree of restriction of a band-limited image signal of a low frequency band may become large.
Claim 30
Dependent Claim
222 words
An image processing method as defined in Claim 3 wherein the formation of the plurality of said converted image signals is carried out by: converting a band-limited image signal such that the absolute value of the signal value of the band-limited image signal may be converted to a value, which is not larger than said absolute value and is determined in accordance with said absolute value, a restricted image signal being thereby obtained, forming an auxiliary image signal, which contains a signal of a frequency band lower than the frequency band of the band-limited image signal having been used for the formation of said restricted image signal, said auxiliary image signal being formed from the original image signal and the plurality of said unsharp mask image signals, converting said auxiliary image signal such that, as the absolute value of the signal value of said auxiliary image signal becomes small, said absolute value may be converted to a value close to 1, and such that, as the absolute value of the signal value of said auxiliary image signal becomes large, said absolute value may be converted to a value close to 0, a magnification ratio signal corresponding to said restricted image signal being thereby obtained, and multiplying said restricted image signal by said magnification ratio signal, which corresponds to said restricted image signal.
Claim 31
Dependent Claim
159 words
An image processing method as defined in Claim 3 wherein the formation of said band-limited image signals, the formation of said converted image signals, the formation of the signal concerning the high frequency components, and the addition of the signal concerning the high frequency components to the original image signal are carried out the formula: Sproc=Sorg+β(Sorg)·Fusm(Sorg,Sus1,Sus2,...,SusN) Fusm(Sorg,Sus1,Sus2,...,SusN) ={f1(Sorg - Sus1)·g(Sus1 - Sus2) +f2(Sus1 - Sus2)·g(Sus2 - Sus3)+... +fk(Susk-1 - Susk)·g(Susk - Susk+1)+... +fN(SusN-1 - SusN)·g(SusN - SusN+1)} wherein Sproc represents the image signal, in which the high frequency components have been emphasized, Sorg represents the original image signal, Susk (k=1 to N+1) represents the unsharp mask image signal, fk (k=1 to N) represents the function for converting the band-limited image signal and thereby obtaining the restricted image signal, g represents the function for converting the auxiliary image signal and thereby obtaining the magnification ratio signal, and β(Sorg) represents the emphasis coefficient determined in accordance with the original image signal.
Claim 32
Dependent Claim
159 words
An image processing method as defined in Claim 30 wherein the formation of said band-limited image signals, the formation of said converted image signals, the formation of the signal concerning the high frequency components, and the addition of the signal concerning the high frequency components to the original image signal are carried out the formula: Sproc=Sorg+β(Sorg)·Fusm(Sorg,Sus1,Sus2,...,SusN) Fusm(Sorg,Sus1,Sus2,...,SusN) ={f1(Sorg - Sus1)·g(Sus1 - Sus2) +f2(Sus1 - Sus2)·g(Sus2 - Sus3)+... +fk(Susk-1 - Susk)·g(Susk - Susk+1)+... +fN(SusN-1 - SusN)·g(SusN - SusN+1)} wherein Sproc represents the image signal, in which the high frequency components have been emphasized, Sorg represents the original image signal, Susk (k=1 to N+1) represents the unsharp mask image signal, fk (k=1 to N) represents the function for converting the band-limited image signal and thereby obtaining the restricted image signal, g represents the function for converting the auxiliary image signal and thereby obtaining the magnification ratio signal, and β(Sorg) represents the emphasis coefficient determined in accordance with the original image signal.
Claim 33
Dependent Claim
159 words
An image processing method as defined in Claim 3 wherein the formation of said band-limited image signals, the formation of said converted image signals, the formation of the signal concerning the high frequency components, and the addition of the signal concerning the high frequency components to the original image signal are carried out the formula: Sproc=Sorg+β(Sorg)·Fusm(Sorg,Sus1,Sus2,...,SusN) Fusm(Sorg,Sus1,Sus2,...,SusN) ={f1(Sorg - Sus1)·g(Sorg - Sus2) +f2(Sus1 - Sus2)·g(Sorg - Sus3)+... +fk(Susk-1 - Susk)·g(Sorg - Susk+1)+... +fN(SusN-1 - SusN)·g(Sorg - SusN+1)} wherein Sproc represents the image signal, in which the high frequency components have been emphasized, Sorg represents the original image signal, Susk (k=1 to N+1) represents the unsharp mask image signal, fk (k=1 to N) represents the function for converting the band-limited image signal and thereby obtaining the restricted image signal, g represents the function for converting the auxiliary image signal and thereby obtaining the magnification ratio signal, and β(Sorg) represents the emphasis coefficient determined in accordance with the original image signal.
Claim 34
Dependent Claim
159 words
An image processing method as defined in Claim 30 wherein the formation of said band-limited image signals, the formation of said converted image signals, the formation of the signal concerning the high frequency components, and the addition of the signal concerning the high frequency components to the original image signal are carried out the formula: Sproc=Sorg+β(Sorg)·Fusm(Sorg,Sus1,Sus2,...,SusN) Fusm(Sorg,Sus1,Sus2,...,SusN) ={f1(Sorg - Sus1)·g(Sorg - Sus2) +f2(Sus1 - Sus2)·g(Sorg - Sus3)+... +fk(Susk-1 - Susk)·g(Sorg - Susk+1)+... +fN(SusN-1 - SusN)·g(Sorg - SusN+1)} wherein Sproc represents the image signal, in which the high frequency components have been emphasized, Sorg represents the original image signal, Susk (k=1 to N+1) represents the unsharp mask image signal, fk (k=1 to N) represents the function for converting the band-limited image signal and thereby obtaining the restricted image signal, g represents the function for converting the auxiliary image signal and thereby obtaining the magnification ratio signal, and β(Sorg) represents the emphasis coefficient determined in accordance with the original image signal.
Claim 35
Dependent Claim
186 words
An image processing method as defined in Claim 3 wherein the formation of the plurality of said converted image signals is carried out by: converting a low frequency side band-limited image signal, which is of a frequency band lower than the frequency band of a band-limited image signal to be converted, with a non-linear function, an auxiliary image signal for said band-limited image signal to be converted being thereby obtained, said non-linear function having the characteristics such that the function may pass through an origin, such that the inclination of the function at the origin may be equal to approximately 0, and such that the inclination of the function may increase gradually as the value to be processed becomes large, adding said auxiliary image signal to said band-limited image signal to be converted, a composite band-limited image signal being thereby obtained, and converting said composite band-limited image signal such that the absolute value of the signal value of said composite band-limited image signal may be converted to a value, which is not larger than said absolute value and is determined in accordance with said absolute value.
Claim 36
Dependent Claim
153 words
An image processing method as defined in Claim 3 wherein the formation of said band-limited image signals, the formation of said converted image signals, the formation of the signal concerning the high frequency components, and the addition of the signal concerning the high frequency components to the original image signal are carried out the formula: Sproc=Sorg+β(Sorg)·Fusm(Sorg,Sus1,Sus2,...,SusN) Fusm(Sorg,Sus1,Sus2,...,SusN) =[f1{(Sorg - Sus1)+g(Sus1 - Sus2)} +f2{(Sus1 - Sus2)+g(Sus2 - Sus3)}+... +fk{(Susk-1 - Susk)+g(Susk - Susk+1)}+... +fN{(SusN-1 - SusN)+g(SusN - SusN+1)}] wherein Sproc represents the image signal, in which the high frequency components have been emphasized, Sorg represents the original image signal, Susk (k=1 to N+1) represents the unsharp mask image signal, fk (k=1 to N) represents the function for converting the composite band-limited image signal, g represents the function for converting the band-limited image signal and thereby obtaining the auxiliary image signal, and β(Sorg) represents the emphasis coefficient determined in accordance with the original image signal.
Claim 37
Dependent Claim
153 words
An image processing method as defined in Claim 35 wherein the formation of said band-limited image signals, the formation of said converted image signals, the formation of the signal concerning the high frequency components, and the addition of the signal concerning the high frequency components to the original image signal are carried out the formula: Sproc=Sorg+β(Sorg)·Fusm(Sorg,Sus1,Sus2,...,SusN) Fusm(Sorg,Sus1,Sus2,...,SusN) =[f1{(Sorg - Sus1)+g(Sus1 - Sus2)} +f2{(Sus1 - Sus2)+g(Sus2 - Sus3)}+... +fk{(Susk-1 - Susk)+g(Susk - Susk+1))+... +fN{(SusN-1 - SusN)+g(SusN - SusN+1)}] wherein Sproc represents the image signal, in which the high frequency components have been emphasized, Sorg represents the original image signal, Susk (k=1 to N+1) represents the unsharp mask image signal, fk (k=1 to N) represents the function for converting the composite band-limited image signal, g represents the function for converting the band-limited image signal and thereby obtaining the auxiliary image signal, and β(Sorg) represents the emphasis coefficient determined in accordance with the original image signal.
Claim 38
Dependent Claim
47 words
An image processing method as defined in Claim 3 wherein the formation of the plurality of said converted image signals is carried out by converting a band-limited image signal in accordance with the portion of an object, the image of which was recorded as the original image.
Claim 39
Dependent Claim
47 words
An image processing method as defined in Claim 4 wherein the formation of the plurality of said converted image signals is carried out by converting a band-limited image signal in accordance with the portion of an object, the image of which was recorded as the original image.
Claim 40
Dependent Claim
47 words
An image processing method as defined in Claim 8 wherein the formation of the plurality of said converted image signals is carried out by converting a band-limited image signal in accordance with the portion of an object, the image of which was recorded as the original image.
Claim 41
Dependent Claim
47 words
An image processing method as defined in Claim 12 wherein the formation of the plurality of said converted image signals is carried out by converting a band-limited image signal in accordance with the portion of an object, the image of which was recorded as the original image.
Claim 42
Dependent Claim
47 words
An image processing method as defined in Claim 15 wherein the formation of the plurality of said converted image signals is carried out by converting a band-limited image signal in accordance with the portion of an object, the image of which was recorded as the original image.
Claim 43
Dependent Claim
47 words
An image processing method as defined in Claim 18 wherein the formation of the plurality of said converted image signals is carried out by converting a band-limited image signal in accordance with the portion of an object, the image of which was recorded as the original image.
Claim 44
Dependent Claim
47 words
An image processing method as defined in Claim 20 wherein the formation of the plurality of said converted image signals is carried out by converting a band-limited image signal in accordance with the portion of an object, the image of which was recorded as the original image.
Claim 45
Dependent Claim
47 words
An image processing method as defined in Claim 30 wherein the formation of the plurality of said converted image signals is carried out by converting a band-limited image signal in accordance with the portion of an object, the image of which was recorded as the original image.
Claim 46
Dependent Claim
47 words
An image processing method as defined in Claim 31 wherein the formation of the plurality of said converted image signals is carried out by converting a band-limited image signal in accordance with the portion of an object, the image of which was recorded as the original image.
Claim 47
Dependent Claim
47 words
An image processing method as defined in Claim 33 wherein the formation of the plurality of said converted image signals is carried out by converting a band-limited image signal in accordance with the portion of an object, the image of which was recorded as the original image.
Claim 48
Dependent Claim
47 words
An image processing method as defined in Claim 35 wherein the formation of the plurality of said converted image signals is carried out by converting a band-limited image signal in accordance with the portion of an object, the image of which was recorded as the original image.
Claim 49
Dependent Claim
47 words
An image processing method as defined in Claim 36 wherein the formation of the plurality of said converted image signals is carried out by converting a band-limited image signal in accordance with the portion of an object, the image of which was recorded as the original image.
Claim 50
Dependent Claim
66 words
An image processing method as defined in Claim 3 wherein the original image has been obtained from a tomographic image recording operation and contains a flow pattern, and the formation of the plurality of said unsharp mask image signals is carried out by conducting unsharp mask processing on the original image signal by using a one-dimensional unsharp mask extending along the direction of said flow pattern.
Claim 51
Dependent Claim
66 words
An image processing method as defined in Claim 4 wherein the original image has been obtained from a tomographic image recording operation and contains a flow pattern, and the formation of the plurality of said unsharp mask image signals is carried out by conducting unsharp mask processing on the original image signal by using a one-dimensional unsharp mask extending along the direction of said flow pattern.
Claim 52
Dependent Claim
66 words
An image processing method as defined in Claim 8 wherein the original image has been obtained from a tomographic image recording operation and contains a flow pattern, and the formation of the plurality of said unsharp mask image signals is carried out by conducting unsharp mask processing on the original image signal by using a one-dimensional unsharp mask extending along the direction of said flow pattern.
Claim 53
Dependent Claim
66 words
An image processing method as defined in Claim 12 wherein the original image has been obtained from a tomographic image recording operation and contains a flow pattern, and the formation of the plurality of said unsharp mask image signals is carried out by conducting unsharp mask processing on the original image signal by using a one-dimensional unsharp mask extending along the direction of said flow pattern.
Claim 54
Dependent Claim
66 words
An image processing method as defined in Claim 15 wherein the original image has been obtained from a tomographic image recording operation and contains a flow pattern, and the formation of the plurality of said unsharp mask image signals is carried out by conducting unsharp mask processing on the original image signal by using a one-dimensional unsharp mask extending along the direction of said flow pattern.
Claim 55
Dependent Claim
66 words
An image processing method as defined in Claim 18 wherein the original image has been obtained from a tomographic image recording operation and contains a flow pattern, and the formation of the plurality of said unsharp mask image signals is carried out by conducting unsharp mask processing on the original image signal by using a one-dimensional unsharp mask extending along the direction of said flow pattern.
Claim 56
Dependent Claim
66 words
An image processing method as defined in Claim 20 wherein the original image has been obtained from a tomographic image recording operation and contains a flow pattern, and the formation of the plurality of said unsharp mask image signals is carried out by conducting unsharp mask processing on the original image signal by using a one-dimensional unsharp mask extending along the direction of said flow pattern.
Claim 57
Dependent Claim
66 words
An image processing method as defined in Claim 30 wherein the original image has been obtained from a tomographic image recording operation and contains a flow pattern, and the formation of the plurality of said unsharp mask image signals is carried out by conducting unsharp mask processing on the original image signal by using a one-dimensional unsharp mask extending along the direction of said flow pattern.
Claim 58
Dependent Claim
66 words
An image processing method as defined in Claim 31 wherein the original image has been obtained from a tomographic image recording operation and contains a flow pattern, and the formation of the plurality of said unsharp mask image signals is carried out by conducting unsharp mask processing on the original image signal by using a one-dimensional unsharp mask extending along the direction of said flow pattern.
Claim 59
Dependent Claim
66 words
An image processing method as defined in Claim 33 wherein the original image has been obtained from a tomographic image recording operation and contains a flow pattern, and the formation of the plurality of said unsharp mask image signals is carried out by conducting unsharp mask processing on the original image signal by using a one-dimensional unsharp mask extending along the direction of said flow pattern.
Claim 60
Dependent Claim
66 words
An image processing method as defined in Claim 35 wherein the original image has been obtained from a tomographic image recording operation and contains a flow pattern, and the formation of the plurality of said unsharp mask image signals is carried out by conducting unsharp mask processing on the original image signal by using a one-dimensional unsharp mask extending along the direction of said flow pattern.
Claim 61
Dependent Claim
66 words
An image processing method as defined in Claim 36 wherein the original image has been obtained from a tomographic image recording operation and contains a flow pattern, and the formation of the plurality of said unsharp mask image signals is carried out by conducting unsharp mask processing on the original image signal by using a one-dimensional unsharp mask extending along the direction of said flow pattern.
Claim 62
Dependent Claim
66 words
An image processing method as defined in Claim 38 wherein the original image has been obtained from a tomographic image recording operation and contains a flow pattern, and the formation of the plurality of said unsharp mask image signals is carried out by conducting unsharp mask processing on the original image signal by using a one-dimensional unsharp mask extending along the direction of said flow pattern.
Claim 63
Dependent Claim
221 words
An image processing apparatus, wherein a signal concerning high frequency components of an original image is added to an original image signal, which represents the original image, and the high frequency components of the original image are thereby emphasized, the apparatus comprising: i) an unsharp mask image signal forming means for forming a plurality of unsharp mask image signals, which have different frequency response characteristics, from the original image signal, ii) a band-limited image signal forming means for forming a plurality of band-limited image signals, each of which represents one of signals falling within a plurality of different frequency bands of the original image signal, from the original image signal and the plurality of said unsharp mask image signals, or from the plurality of said unsharp mask image signals, iii) a conversion means for carrying out a converting process on at least a single band-limited image signal, which is among the plurality of said band-limited image signals, such that at least a portion of the band-limited image signal may become small, and thereby forming a plurality of converted image signals, and iv) a frequency emphasis processing means for integrating the plurality of said converted image signals, and thereby obtaining the signal concerning the high frequency components of the original image, which signal is to be added to the original image signal.
Claim 64
Dependent Claim
74 words
An image processing apparatus as defined in Claim 63 wherein said conversion means forms the plurality of said converted image signals by converting a band-limited image signal having a signal value, the absolute value of which is larger than a predetermined threshold value, such that the absolute value of the signal value of the band-limited image signal, which absolute value is larger than the predetermined threshold value, may be converted to a small value.
Claim 65
Dependent Claim
118 words
An image processing apparatus as defined in Claim 64 wherein said conversion means forms the plurality of said converted image signals by converting a band-limited image signal such that, as the absolute value of the signal value of the band-limited image signal becomes larger than the predetermined threshold value, the absolute value of the signal value of the band-limited image signal may be converted to a small value, and such that, as the absolute value of the signal value of the band-limited image signal becomes smaller than a different threshold value, which is smaller than the predetermined threshold value, the absolute value of the signal value of the band-limited image signal may be converted to a small value.
Claim 66
Dependent Claim
58 words
An image processing apparatus as defined in Claim 64 wherein said conversion means forms the plurality of said converted image signals by converting a band-limited image signal such that the level of the absolute value of the signal value of the band-limited image signal may be changed in accordance with the frequency band of the band-limited image signal.
Claim 67
Dependent Claim
58 words
An image processing apparatus as defined in Claim 65 wherein said conversion means forms the plurality of said converted image signals by converting a band-limited image signal such that the level of the absolute value of the signal value of the band-limited image signal may be changed in accordance with the frequency band of the band-limited image signal.
Claim 68
Dependent Claim
79 words
An image processing apparatus as defined in Claim 63 wherein said conversion means forms the plurality of said converted image signals by converting a band-limited image signal in accordance with one of a plurality of functions, which vary for different frequency bands, such that the absolute value of the signal value of the band-limited image signal may be converted to a value, which is not larger than said absolute value and is determined in accordance with said absolute value.
Claim 69
Dependent Claim
93 words
An image processing apparatus as defined in Claim 68 wherein each of the functions, which are used for the formation of said converted image signals, converts a band-limited image signal having a signal value, the absolute value of which is larger than a predetermined value, such that the value of the converted image signal may become approximately equal to a predetermined level, and wherein the functions are set such that, in a function for processing a high frequency band, said predetermined value is set to be smaller than those in the other functions.
Claim 70
Dependent Claim
82 words
An image processing apparatus as defined in Claim 68 wherein the functions, which are used for the formation of said converted image signals, are set such that, in a function for processing a low frequency band, the absolute value of the converted image signal, that is obtained when the band-limited image signal having a signal value, the absolute value of which falls within a predetermined range close to 0, is converted, may take a value smaller than those in the other functions.
Claim 71
Dependent Claim
82 words
An image processing apparatus as defined in Claim 69 wherein the functions, which are used for the formation of said converted image signals, are set such that, in a function for processing a low frequency band, the absolute value of the converted image signal, that is obtained when the band-limited image signal having a signal value, the absolute value of which falls within a predetermined range close to 0, is converted, may take a value smaller than those in the other functions.
Claim 72
Dependent Claim
126 words
An image processing apparatus as defined in Claim 63 wherein the formation of said band-limited image signals, the formation of said converted image signals, the formation of the signal concerning the high frequency components, and the addition of the signal concerning the high frequency components to the original image signal are carried out with the formula: Sproc=Sorg+β(Sorg)·Fusm(Sorg,Sus1,Sus2,...,SusN) Fusm(Sorg,Sus1,Sus2,...,SusN) ={f1(Sorg - Sus1)+f2(Sus1 - Sus2)+... +fk(Susk-1 - Susk)+...+fN(SusN-1 - SusN)} wherein Sproc represents the image signal, in which the high frequency components have been emphasized, Sorg represents the original image signal, Susk (k=1 to N) represents the unsharp mask image signal, fk (k=1 to N) represents the function for converting the band-limited image signal, and β(Sorg) represents the emphasis coefficient determined in accordance with the original image signal.
Claim 73
Dependent Claim
126 words
An image processing apparatus as defined in Claim 64 wherein the formation of said band-limited image signals, the formation of said converted image signals, the formation of the signal concerning the high frequency components, and the addition of the signal concerning the high frequency components to the original image signal are carried out with the formula: Sproc=Sorg+β(Sorg)·Fusm(Sorg,Sus1,Sus2,...,SusN) Fusm(Sorg,Sus1,Sus2,...,SusN) ={f1(Sorg - Sus1)+f2(Sus1 - Sus2)+... +fk(Susk-1 - Susk)+...+fN(SusN-1 - SusN)} wherein Sproc represents the image signal, in which the high frequency components have been emphasized, Sorg represents the original image signal, Susk (k=1 to N) represents the unsharp mask image signal, fk (k=1 to N) represents the function for converting the band-limited image signal, and β(Sorg) represents the emphasis coefficient determined in accordance with the original image signal.
Claim 74
Dependent Claim
126 words
An image processing apparatus as defined in Claim 68 wherein the formation of said band-limited image signals, the formation of said converted image signals, the formation of the signal concerning the high frequency components, and the addition of the signal concerning the high frequency components to the original image signal are carried out with the formula: Sproc=Sorg+β(Sorg)·Fusm(Sorg,Sus1,Sus2,...,SusN) Fusm(Sorg,Sus1,Sus2,...,SusN) ={f1(Sorg - Sus1)+f2(Sus1 - Sus2)+... +fk(Susk-1 - Susk)+...+fN(SusN-1 - SusN)} wherein Sproc represents the image signal, in which the high frequency components have been emphasized, Sorg represents the original image signal, Susk (k=1 to N) represents the unsharp mask image signal, fk (k=1 to N) represents the function for converting the band-limited image signal, and β(Sorg) represents the emphasis coefficient determined in accordance with the original image signal.
Claim 75
Dependent Claim
126 words
An image processing apparatus as defined in Claim 63 wherein the formation of said band-limited image signals, the formation of said converted image signals, the formation of the signal concerning the high frequency components, and the addition of the signal concerning the high frequency components to the original image signal are carried out with the formula: Sproc=Sorg+β(Sorg)·Fusm(Sorg,Sus1,Sus2,...,SusN) Fusm(Sorg,Sus1,Sus2,...,SusN) =(1/N)·{f1(Sorg - Sus1)+f2(Sorg - Sus2)+... +fk(Sorg - Susk)+...+fN(Sorg - SusN)} wherein Sproc represents the image signal, in which the high frequency components have been emphasized, Sorg represents the original image signal, Susk (k=1 to N) represents the unsharp mask image signal, fk (k=1 to N) represents the function for converting the band-limited image signal, and β(Sorg) represents the emphasis coefficient determined in accordance with the original image signal.
Claim 76
Dependent Claim
126 words
An image processing apparatus as defined in Claim 64 wherein the formation of said band-limited image signals, the formation of said converted image signals, the formation of the signal concerning the high frequency components, and the addition of the signal concerning the high frequency components to the original image signal are carried out with the formula: Sproc=Sorg+β(Sorg)·Fusm(Sorg,Sus1,Sus2,...,SusN) Fusm(Sorg,Sus1,Sus2,...,SusN) =(1/N)·{f1(Sorg - Sus1)+f2(Sorg - Sus2)+... +fk(Sorg - Susk)+...+fN(Sorg - SusN)} wherein Sproc represents the image signal, in which the high frequency components have been emphasized, Sorg represents the original image signal, Susk (k=1 to N) represents the unsharp mask image signal, fk (k=1 to N) represents the function for converting the band-limited image signal, and β(Sorg) represents the emphasis coefficient determined in accordance with the original image signal.
Claim 77
Dependent Claim
126 words
An image processing apparatus as defined in Claim 68 wherein the formation of said band-limited image signals, the formation of said converted image signals, the formation of the signal concerning the high frequency components, and the addition of the signal concerning the high frequency components to the original image signal are carried out with the formula: Sproc=Sorg+β(Sorg)·Fusm(Sorg,Sus1,Sus2,...,SusN) Fusm(Sorg,Sus1,Sus2,...,SusN) =(1/N)·{f1(Sorg - Sus1)+f2(Sorg - Sus2)+... +fk(Sorg - Susk)+...+fN(Sorg - SusN)} wherein Sproc represents the image signal, in which the high frequency components have been emphasized, Sorg represents the original image signal, Susk (k=1 to N) represents the unsharp mask image signal, fk (k=1 to N) represents the function for converting the band-limited image signal, and β(Sorg) represents the emphasis coefficient determined in accordance with the original image signal.
Claim 78
Dependent Claim
126 words
An image processing apparatus as defined in Claim 63 wherein the formation of said band-limited image signals, the formation of said converted image signals, the formation of the signal concerning the high frequency components, and the addition of the signal concerning the high frequency components to the original image signal are carried out with the formula: Sproc=Sorg+β(Sorg)·Fusm(Sus1,Sus2,...,SusN) Fusm(Sus1,Sus2,...,SusN) ={f2(Sus1 - Sus2)+f3(Sus2 - Sus3)+... +fk(Susk-1 - Susk)+...+fN(SusN-1 - SusN)} wherein Sproc represents the image signal, in which the high frequency components have been emphasized, Sorg represents the original image signal, Susk (k=1 to N) represents the unsharp mask image signal, fk (k=2 to N) represents the function for converting the band-limited image signal, and β(Sorg) represents the emphasis coefficient determined in accordance with the original image signal.
Claim 79
Dependent Claim
126 words
An image processing apparatus as defined in Claim 64 wherein the formation of said band-limited image signals, the formation of said converted image signals, the formation of the signal concerning the high frequency components, and the addition of the signal concerning the high frequency components to the original image signal are carried out with the formula: Sproc=Sorg+β(Sorg)·Fusm(Sus1,Sus2,...,SusN) Fusm(Sus1,Sus2,...,SusN) ={f2(Sus1 - Sus2)+f3(Sus2 - Sus3)+... +fk(Susk-1 - Susk)+...+fN(SusN-1 - SusN)} wherein Sproc represents the image signal, in which the high frequency components have been emphasized, Sorg represents the original image signal, Susk (k=1 to N) represents the unsharp mask image signal, fk (k=2 to N) represents the function for converting the band-limited image signal, and β(Sorg) represents the emphasis coefficient determined in accordance with the original image signal.
Claim 80
Dependent Claim
126 words
An image processing apparatus as defined in Claim 63 wherein the formation of said band-limited image signals, the formation of said converted image signals, the formation of the signal concerning the high frequency components, and the addition of the signal concerning the high frequency components to the original image signal are carried out with the formula: Sproc=Sorg+β(Sorg)·Fusm(Sus1,Sus2,...,SusN) Fusm(Sus1,Sus2,...,SusN) =(1/N)·{f2(Sus1 - Sus2)+f3(Sus1 - Sus3)+... +fk(Sus1 - Susk)+...+fN(Sus1 - SusN)} wherein Sproc represents the image signal, in which the high frequency components have been emphasized, Sorg represents the original image signal, Susk (k=1 to N) represents the unsharp mask image signal, fk (k=2 to N) represents the function for converting the band-limited image signal, and β(Sorg) represents the emphasis coefficient determined in accordance with the original image signal.
Claim 81
Dependent Claim
126 words
An image processing apparatus as defined in Claim 64 wherein the formation of said band-limited image signals, the formation of said converted image signals, the formation of the signal concerning the high frequency components, and the addition of the signal concerning the high frequency components to the original image signal are carried out with the formula: Sproc=Sorg+β(Sorg)·Fusm(Sus1,Sus2,...,SusN) Fusm(Sus1,Sus2,...,SusN) =(1/N)·{f2(Sus1 - Sus2)+f3(Sus1 - Sus3)+... +fk(Sus1 - Susk)+...+fN(Sus1 - SusN)} wherein Sproc represents the image signal, in which the high frequency components have been emphasized, Sorg represents the original image signal, Susk (k=1 to N) represents the unsharp mask image signal, fk (k=2 to N) represents the function for converting the band-limited image signal, and β(Sorg) represents the emphasis coefficient determined in accordance with the original image signal.
Claim 82
Dependent Claim
46 words
An image processing apparatus as defined in Claim 63 wherein said conversion means forms the plurality of said converted image signals by conducting a converting process on a band-limited image signal in accordance with the value of an emphasis coefficient, which is used for the emphasis.
Claim 83
Dependent Claim
46 words
An image processing apparatus as defined in Claim 64 wherein said conversion means forms the plurality of said converted image signals by conducting a converting process on a band-limited image signal in accordance with the value of an emphasis coefficient, which is used for the emphasis.
Claim 84
Dependent Claim
46 words
An image processing apparatus as defined in Claim 68 wherein said conversion means forms the plurality of said converted image signals by conducting a converting process on a band-limited image signal in accordance with the value of an emphasis coefficient, which is used for the emphasis.
Claim 85
Dependent Claim
46 words
An image processing apparatus as defined in Claim 72 wherein said conversion means forms the plurality of said converted image signals by conducting a converting process on a band-limited image signal in accordance with the value of an emphasis coefficient, which is used for the emphasis.
Claim 86
Dependent Claim
46 words
An image processing apparatus as defined in Claim 75 wherein said conversion means forms the plurality of said converted image signals by conducting a converting process on a band-limited image signal in accordance with the value of an emphasis coefficient, which is used for the emphasis.
Claim 87
Dependent Claim
46 words
An image processing apparatus as defined in Claim 78 wherein said conversion means forms the plurality of said converted image signals by conducting a converting process on a band-limited image signal in accordance with the value of an emphasis coefficient, which is used for the emphasis.
Claim 88
Dependent Claim
46 words
An image processing apparatus as defined in Claim 80 wherein said conversion means forms the plurality of said converted image signals by conducting a converting process on a band-limited image signal in accordance with the value of an emphasis coefficient, which is used for the emphasis.
Claim 89
Dependent Claim
90 words
An image processing apparatus as defined in Claim 82 wherein said converting process varies for different frequency bands and is carried out such that, as for a band-limited image signal of a low frequency band, the band-limited image signal may be restricted strongly, and such that, as the value of said emphasis coefficient becomes large, the difference between the degree of restriction of a band-limited image signal of a high frequency band and the degree of restriction of a band-limited image signal of a low frequency band may become large.
Claim 90
Dependent Claim
237 words
An image processing apparatus as defined in Claim 63 wherein said conversion means comprises: a restricted image signal forming means for converting a band-limited image signal such that the absolute value of the signal value of the band-limited image signal may be converted to a value, which is not larger than said absolute value and is determined in accordance with said absolute value, and thereby obtaining a restricted image signal, an auxiliary image signal forming means for forming an auxiliary image signal, which contains a signal of a frequency band lower than the frequency band of the band-limited image signal having been used for the formation of said restricted image signal, said auxiliary image signal being formed from the original image signal and the plurality of said unsharp mask image signals, a magnification ratio signal forming means for converting said auxiliary image signal such that, as the absolute value of the signal value of said auxiliary image signal becomes small, said absolute value may be converted to a value close to 1, and such that, as the absolute value of the signal value of said auxiliary image signal becomes large, said absolute value may be converted to a value close to 0, and thereby obtaining a magnification ratio signal corresponding to said restricted image signal, and a multiplication means for multiplying said restricted image signal by said magnification ratio signal, which corresponds to said restricted image signal.
Claim 91
Dependent Claim
159 words
An image processing apparatus as defined in Claim 63 wherein the formation of said band-limited image signals, the formation of said converted image signals, the formation of the signal concerning the high frequency components, and the addition of the signal concerning the high frequency components to the original image signal are carried out the formula: Sproc=Sorg+β(Sorg)·Fusm(Sorg,Sus1,Sus2,...,SusN) Fusm(Sorg,Sus1,Sus2,...,SusN) ={f1(Sorg - Sus1)·g(Sus1 - Sus2) +f2(Sus1 - Sus2)·g(Sus2 - Sus3)+... +fk(Susk-1 - Susk)·g(Susk - Susk+1)+... +fN(SusN-1 - SusN)·g(SusN - SusN+1)} wherein Sproc represents the image signal, in which the high frequency components have been emphasized, Sorg represents the original image signal, Susk (k=1 to N+1) represents the unsharp mask image signal, fk (k=1 to N) represents the function for converting the band-limited image signal and thereby obtaining the restricted image signal, g represents the function for converting the auxiliary image signal and thereby obtaining the magnification ratio signal, and β(Sorg) represents the emphasis coefficient determined in accordance with the original image signal.
Claim 92
Dependent Claim
159 words
An image processing apparatus as defined in Claim 90 wherein the formation of said band-limited image signals, the formation of said converted image signals, the formation of the signal concerning the high frequency components, and the addition of the signal concerning the high frequency components to the original image signal are carried out the formula: Sproc=Sorg+β(Sorg)·Fusm(Sorg,Sus1,Sus2,...,SusN) Fusm(Sorg,Sus1,Sus2,...,SusN) ={f1(Sorg - Sus1)·g(Sus1 - Sus2) +f2(Sus1 - Sus2)·g(Sus2 - Sus3)+... +fk(Susk-1 - Susk)·g(Susk - Susk+1)+... +fN(SusN-1 - SusN)·g(SusN - SusN+1)} wherein Sproc represents the image signal, in which the high frequency components have been emphasized, Sorg represents the original image signal, Susk (k=1 to N+1) represents the unsharp mask image signal, fk (k=1 to N) represents the function for converting the band-limited image signal and thereby obtaining the restricted image signal, g represents the function for converting the auxiliary image signal and thereby obtaining the magnification ratio signal, and β(Sorg) represents the emphasis coefficient determined in accordance with the original image signal.
Claim 93
Dependent Claim
159 words
An image processing apparatus as defined in Claim 63 wherein the formation of said band-limited image signals, the formation of said converted image signals, the formation of the signal concerning the high frequency components, and the addition of the signal concerning the high frequency components to the original image signal are carried out the formula: Sproc=Sorg+β(Sorg)·Fusm(Sorg,Sus1,Sus2,...,SusN) Fusm(Sorg,Sus1,Sus2,...,SusN) ={f1(Sorg - Sus1)·g(Sorg - Sus2) +f2(Sus1 - Sus2)·g(Sorg - Sus3)+... +fk(Susk-1 - Susk)·g(Sorg - Susk+1)+... +fN(SusN-1 - SusN)·g(Sorg - SusN+1)} wherein Sproc represents the image signal, in which the high frequency components have been emphasized, Sorg represents the original image signal, Susk (k=1 to N+1) represents the unsharp mask image signal, fk (k=1 to N) represents the function for converting the band-limited image signal and thereby obtaining the restricted image signal, g represents the function for converting the auxiliary image signal and thereby obtaining the magnification ratio signal, and β(Sorg) represents the emphasis coefficient determined in accordance with the original image signal.
Claim 94
Dependent Claim
160 words
An image processing apparatus as defined in Claim 90 wherein the formation of said band-limited image signals, the formation of said converted image signals, the formation of the signal concerning the high frequency components, and the addition of the signal concerning the high frequency components to the original image signal are carried out the formula: Sproc=Sorg+β(Sorg)·Fusm(Sorg,Sus1,Sus2,...,SusN) Fusm(Sorg,Sus1,Sus2,...,SusN) ={f1(Sorg - Sus1)·g(Sorg - Sus2) +f2 (Sus1 - Sus2)·g(Sorg - Sus3)+... +fk(Susk-1 - Susk)·g(Sorg - Susk+1)+... +fN(SusN-1 - SusN)·g(Sorg - SusN+1)} wherein Sproc represents the image signal, in which the high frequency components have been emphasized, Sorg represents the original image signal, Susk (k=1 to N+1) represents the unsharp mask image signal, fk (k=1 to N) represents the function for converting the band-limited image signal and thereby obtaining the restricted image signal, g represents the function for converting the auxiliary image signal and thereby obtaining the magnification ratio signal, and β(Sorg) represents the emphasis coefficient determined in accordance with the original image signal.
Claim 95
Dependent Claim
205 words
An image processing apparatus as defined in Claim 63 wherein said conversion means comprises: an auxiliary image signal forming means for converting a low frequency side band-limited image signal, which is of a frequency band lower than the frequency band of a band-limited image signal to be converted, with a non-linear function, and thereby obtaining an auxiliary image signal for said band-limited image signal to be converted, said non-linear function having the characteristics such that the function may pass through an origin, such that the inclination of the function at the origin may be equal to approximately 0, and such that the inclination of the function may increase gradually as the value to be processed becomes large, a composite band-limited image signal forming means for adding said auxiliary image signal to said band-limited image signal to be converted, and thereby obtaining a composite band-limited image signal, and a converted image signal forming means for converting said composite band-limited image signal such that the absolute value of the signal value of said composite band-limited image signal may be converted to a value, which is not larger than said absolute value and is determined in accordance with said absolute value, and thereby obtaining a converted image signal.
Claim 96
Dependent Claim
153 words
An image processing apparatus as defined in Claim 63 wherein the formation of said band-limited image signals, the formation of said converted image signals, the formation of the signal concerning the high frequency components, and the addition of the signal concerning the high frequency components to the original image signal are carried out the formula: Sproc=Sorg+β(Sorg)·Fusm(Sorg,Sus1,Sus2,...,SusN) Fusm(Sorg,Sus1,Sus2,...,SusN) =[f1{(Sorg - Sus1)+g(Sus1 - Sus2)} +f2{(Sus1 - Sus2)+g(Sus2 - Sus3)}+... +fk{(Susk-1 - Susk)+g(Susk - Susk+1)}+... +fN{(SusN-1 - SusN)+g(SusN - SusN+1)}] wherein Sproc represents the image signal, in which the high frequency components have been emphasized, Sorg represents the original image signal, Susk (k=1 to N+1) represents the unsharp mask image signal, fk (k=1 to N) represents the function for converting the composite band-limited image signal, g represents the function for converting the band-limited image signal and thereby obtaining the auxiliary image signal, and β(Sorg) represents the emphasis coefficient determined in accordance with the original image signal.
Claim 97
Dependent Claim
153 words
An image processing apparatus as defined in Claim 95 wherein the formation of said band-limited image signals, the formation of said converted image signals, the formation of the signal concerning the high frequency components, and the addition of the signal concerning the high frequency components to the original image signal are carried out the formula: Sproc=Sorg+β(Sorg)·Fusm(Sorg,Sus1,Sus2,...,SusN) Fusm(Sorg,Sus1,Sus2,...,SusN) =[f1{(Sorg - Sus1)+g(Sus1 - Sus2)} +f2{(Sus1 - Sus2)+g(Sus2 - Sus3)}+... +fk{(Susk-1 - Susk)+g(Susk - Susk+1)}+... +fN{(SusN-1 - SusN)+g(SusN - SusN+1)}] wherein Sproc represents the image signal, in which the high frequency components have been emphasized, Sorg represents the original image signal, Susk (k=1 to N+1) represents the unsharp mask image signal, fk (k=1 to N) represents the function for converting the composite band-limited image signal, g represents the function for converting the band-limited image signal and thereby obtaining the auxiliary image signal, and β(Sorg) represents the emphasis coefficient determined in accordance with the original image signal.
Claim 98
Dependent Claim
45 words
An image processing apparatus as defined in Claim 63 wherein said conversion means forms the plurality of said converted image signals by converting a band-limited image signal in accordance with the portion of an object, the image of which was recorded as the original image.
Claim 99
Dependent Claim
45 words
An image processing apparatus as defined in Claim 64 wherein said conversion means forms the plurality of said converted image signals by converting a band-limited image signal in accordance with the portion of an object, the image of which was recorded as the original image.
Claim 100
Dependent Claim
45 words
An image processing apparatus as defined in Claim 68 wherein said conversion means forms the plurality of said converted image signals by converting a band-limited image signal in accordance with the portion of an object, the image of which was recorded as the original image.
Claim 101
Dependent Claim
34 words
An image processing apparatus as defined in Claim 72 wherein by converting a band-limited image signal in accordance with the portion of an object, the image of which was recorded as the original image.
Claim 102
Dependent Claim
34 words
An image processing apparatus as defined in Claim 75 wherein by converting a band-limited image signal in accordance with the portion of an object, the image of which was recorded as the original image.
Claim 103
Dependent Claim
45 words
An image processing apparatus as defined in Claim 78 wherein said conversion means forms the plurality of said converted image signals by converting a band-limited image signal in accordance with the portion of an object, the image of which was recorded as the original image.
Claim 104
Dependent Claim
34 words
An image processing apparatus as defined in Claim 80 wherein by converting a band-limited image signal in accordance with the portion of an object, the image of which was recorded as the original image.
Claim 105
Dependent Claim
45 words
An image processing apparatus as defined in Claim 90 wherein said conversion means forms the plurality of said converted image signals by converting a band-limited image signal in accordance with the portion of an object, the image of which was recorded as the original image.
Claim 106
Dependent Claim
45 words
An image processing apparatus as defined in Claim 91 wherein said conversion means forms the plurality of said converted image signals by converting a band-limited image signal in accordance with the portion of an object, the image of which was recorded as the original image.
Claim 107
Dependent Claim
45 words
An image processing apparatus as defined in Claim 93 wherein said conversion means forms the plurality of said converted image signals by converting a band-limited image signal in accordance with the portion of an object, the image of which was recorded as the original image.
Claim 108
Dependent Claim
45 words
An image processing apparatus as defined in Claim 95 wherein said conversion means forms the plurality of said converted image signals by converting a band-limited image signal in accordance with the portion of an object, the image of which was recorded as the original image.
Claim 109
Dependent Claim
45 words
An image processing apparatus as defined in Claim 96 wherein said conversion means forms the plurality of said converted image signals by converting a band-limited image signal in accordance with the portion of an object, the image of which was recorded as the original image.
Claim 110
Dependent Claim
68 words
An image processing apparatus as defined in Claim 63 wherein the original image has been obtained from a tomographic image recording operation and contains a flow pattern, and said unsharp mask image signal forming means forms the plurality of said unsharp mask image signals by conducting unsharp mask processing on the original image signal by using a one-dimensional unsharp mask extending along the direction of said flow pattern.
Claim 111
Dependent Claim
68 words
An image processing apparatus as defined in Claim 64 wherein the original image has been obtained from a tomographic image recording operation and contains a flow pattern, and said unsharp mask image signal forming means forms the plurality of said unsharp mask image signals by conducting unsharp mask processing on the original image signal by using a one-dimensional unsharp mask extending along the direction of said flow pattern.
Claim 112
Dependent Claim
68 words
An image processing apparatus as defined in Claim 68 wherein the original image has been obtained from a tomographic image recording operation and contains a flow pattern, and said unsharp mask image signal forming means forms the plurality of said unsharp mask image signals by conducting unsharp mask processing on the original image signal by using a one-dimensional unsharp mask extending along the direction of said flow pattern.
Claim 113
Dependent Claim
68 words
An image processing apparatus as defined in Claim 72 wherein the original image has been obtained from a tomographic image recording operation and contains a flow pattern, and said unsharp mask image signal forming means forms the plurality of said unsharp mask image signals by conducting unsharp mask processing on the original image signal by using a one-dimensional unsharp mask extending along the direction of said flow pattern.
Claim 114
Dependent Claim
68 words
An image processing apparatus as defined in Claim 75 wherein the original image has been obtained from a tomographic image recording operation and contains a flow pattern, and said unsharp mask image signal forming means forms the plurality of said unsharp mask image signals by conducting unsharp mask processing on the original image signal by using a one-dimensional unsharp mask extending along the direction of said flow pattern.
Claim 115
Dependent Claim
68 words
An image processing apparatus as defined in Claim 78 wherein the original image has been obtained from a tomographic image recording operation and contains a flow pattern, and said unsharp mask image signal forming means forms the plurality of said unsharp mask image signals by conducting unsharp mask processing on the original image signal by using a one-dimensional unsharp mask extending along the direction of said flow pattern.
Claim 116
Dependent Claim
68 words
An image processing apparatus as defined in Claim 80 wherein the original image has been obtained from a tomographic image recording operation and contains a flow pattern, and said unsharp mask image signal forming means forms the plurality of said unsharp mask image signals by conducting unsharp mask processing on the original image signal by using a one-dimensional unsharp mask extending along the direction of said flow pattern.
Claim 117
Dependent Claim
68 words
An image processing apparatus as defined in Claim 90 wherein the original image has been obtained from a tomographic image recording operation and contains a flow pattern, and said unsharp mask image signal forming means forms the plurality of said unsharp mask image signals by conducting unsharp mask processing on the original image signal by using a one-dimensional unsharp mask extending along the direction of said flow pattern.
Claim 118
Dependent Claim
68 words
An image processing apparatus as defined in Claim 91 wherein the original image has been obtained from a tomographic image recording operation and contains a flow pattern, and said unsharp mask image signal forming means forms the plurality of said unsharp mask image signals by conducting unsharp mask processing on the original image signal by using a one-dimensional unsharp mask extending along the direction of said flow pattern.
Claim 119
Dependent Claim
68 words
An image processing apparatus as defined in Claim 93 wherein the original image has been obtained from a tomographic image recording operation and contains a flow pattern, and said unsharp mask image signal forming means forms the plurality of said unsharp mask image signals by conducting unsharp mask processing on the original image signal by using a one-dimensional unsharp mask extending along the direction of said flow pattern.
Claim 120
Dependent Claim
68 words
An image processing apparatus as defined in Claim 95 wherein the original image has been obtained from a tomographic image recording operation and contains a flow pattern, and said unsharp mask image signal forming means forms the plurality of said unsharp mask image signals by conducting unsharp mask processing on the original image signal by using a one-dimensional unsharp mask extending along the direction of said flow pattern.
Claim 121
Dependent Claim
68 words
An image processing apparatus as defined in Claim 96 wherein the original image has been obtained from a tomographic image recording operation and contains a flow pattern, and said unsharp mask image signal forming means forms the plurality of said unsharp mask image signals by conducting unsharp mask processing on the original image signal by using a one-dimensional unsharp mask extending along the direction of said flow pattern.
Claim 122
Dependent Claim
68 words
An image processing apparatus as defined in Claim 98 wherein the original image has been obtained from a tomographic image recording operation and contains a flow pattern, and said unsharp mask image signal forming means forms the plurality of said unsharp mask image signals by conducting unsharp mask processing on the original image signal by using a one-dimensional unsharp mask extending along the direction of said flow pattern.
Claim 123
Dependent Claim
226 words
A dynamic range compressing method, wherein a signal concerning low frequency components of an original image is added to an original image signal, which represents the original image, and the dynamic range of the original image is thereby compressed, the method comprising the steps of: i) forming a plurality of unsharp mask image signals, which have different frequency response characteristics, from the original image signal, ii) forming a plurality of band-limited image signals, each of which represents one of signals falling within a plurality of different frequency bands of the original image signal, from the original image signal and the plurality of said unsharp mask image signals, or from the plurality of said unsharp mask image signals, iii) carrying out a converting process on at least a single band-limited image signal, which is among the plurality of said band-limited image signals, such that at least a portion of the band-limited image signal may become small, a plurality of converted image signals being thereby formed, iv) integrating the plurality of said converted image signals, an integration signal being thereby obtained, v) subtracting said integration signal from the original image signal, a difference signal being thereby obtained, and vi) converting said difference signal, whereby the signal concerning the low frequency components of the original image, which signal is to be added to the original image signal, is obtained.
Claim 124
Dependent Claim
77 words
A dynamic range compressing method as defined in Claim 123 wherein the formation of the plurality of said converted image signals is carried out by converting a band-limited image signal having a signal value, the absolute value of which is larger than a predetermined threshold value, such that the absolute value of the signal value of the band-limited image signal, which absolute value is larger than the predetermined threshold value, may be converted to a small value.
Claim 125
Dependent Claim
121 words
A dynamic range compressing method as defined in Claim 124 wherein the formation of the plurality of said converted image signals is carried out by converting a band-limited image signal such that, as the absolute value of the signal value of the band-limited image signal becomes larger than the predetermined threshold value, the absolute value of the signal value of the band-limited image signal may be converted to a small value, and such that, as the absolute value of the signal value of the band-limited image signal becomes smaller than a different threshold value, which is smaller than the predetermined threshold value, the absolute value of the signal value of the band-limited image signal may be converted to a small value.
Claim 126
Dependent Claim
61 words
A dynamic range compressing method as defined in Claim 124 wherein the formation of the plurality of said converted image signals is carried out by converting a band-limited image signal such that the level of the absolute value of the signal value of the band-limited image signal may be changed in accordance with the frequency band of the band-limited image signal.
Claim 127
Dependent Claim
61 words
A dynamic range compressing method as defined in Claim 125 wherein the formation of the plurality of said converted image signals is carried out by converting a band-limited image signal such that the level of the absolute value of the signal value of the band-limited image signal may be changed in accordance with the frequency band of the band-limited image signal.
Claim 128
Dependent Claim
82 words
A dynamic range compressing method as defined in Claim 123 wherein the formation of the plurality of said converted image signals is carried out by converting a band-limited image signal in accordance with one of a plurality of functions, which vary for different frequency bands, such that the absolute value of the signal value of the band-limited image signal may be converted to a value, which is not larger than said absolute value and is determined in accordance with said absolute value.
Claim 129
Dependent Claim
94 words
A dynamic range compressing method as defined in Claim 128 wherein each of the functions, which are used for the formation of said converted image signals, converts a band-limited image signal having a signal value, the absolute value of which is larger than a predetermined value, such that the value of the converted image signal may become approximately equal to a predetermined level, and wherein the functions are set such that, in a function for processing a high frequency band, said predetermined value is set to be smaller than those in the other functions.
Claim 130
Dependent Claim
83 words
A dynamic range compressing method as defined in Claim 128 wherein the functions, which are used for the formation of said converted image signals, are set such that, in a function for processing a low frequency band, the absolute value of the converted image signal, that is obtained when the band-limited image signal having a signal value, the absolute value of which falls within a predetermined range close to 0, is converted, may take a value smaller than those in the other functions.
Claim 131
Dependent Claim
83 words
A dynamic range compressing method as defined in Claim 129 wherein the functions, which are used for the formation of said converted image signals, are set such that, in a function for processing a low frequency band, the absolute value of the converted image signal, that is obtained when the band-limited image signal having a signal value, the absolute value of which falls within a predetermined range close to 0, is converted, may take a value smaller than those in the other functions.
Claim 132
Dependent Claim
150 words
A dynamic range compressing method as defined in Claim 123 wherein the formation of said band-limited image signals, the formation of said converted image signals, the formation of said integration signal, the formation of said difference signal, the formation of the signal concerning the low frequency components, and the addition of the signal concerning the low frequency components to the original image signal are carried out with the formula: Sproc=Sorg+D(Sorg-Fdrc(Sorg,Sus1,Sus2,...,SusN)) Fdrc(Sorg,Sus1,Sus2,...,SusN) ={f1(Sorg - Sus1)+f2(Sus1 - Sus2)+... +fk(Susk-1 - Susk)+...+fN(SusN-1 - SusN)} wherein Sproc represents the image signal, in which the dynamic range has been compressed, Sorg represents the original image signal, Susk (k=1 to N) represents the unsharp mask image signal, fk (k=1 to N) represents the function for converting the band-limited image signal, and D(Sorg-Fdrc) represents the dynamic range compression factor determined in accordance with the low frequency component signal, in which D represents the function for converting Sorg-Fdrc.
Claim 133
Dependent Claim
150 words
A dynamic range compressing method as defined in Claim 124 wherein the formation of said band-limited image signals, the formation of said converted image signals, the formation of said integration signal, the formation of said difference signal, the formation of the signal concerning the low frequency components, and the addition of the signal concerning the low frequency components to the original image signal are carried out with the formula: Sproc=Sorg+D(Sorg-Fdrc(Sorg,Sus1,Sus2,...,SusN)) Fdrc(Sorg,Sus1,Sus2,...,SusN) ={f1(Sorg - Sus1)+f2(Sus1 - Sus2)+... +fk(Susk-1 - Susk)+...+fN(SusN-1 - SusN)} wherein Sproc represents the image signal, in which the dynamic range has been compressed, Sorg represents the original image signal, Susk (k=1 to N) represents the unsharp mask image signal, fk (k=1 to N) represents the function for converting the band-limited image signal, and D(Sorg-Fdrc) represents the dynamic range compression factor determined in accordance with the low frequency component signal, in which D represents the function for converting Sorg-Fdrc.
Claim 134
Dependent Claim
150 words
A dynamic range compressing method as defined in Claim 128 wherein the formation of said band-limited image signals, the formation of said converted image signals, the formation of said integration signal, the formation of said difference signal, the formation of the signal concerning the low frequency components, and the addition of the signal concerning the low frequency components to the original image signal are carried out with the formula: Sproc=Sorg+D(Sorg-Fdrc(Sorg,Sus1,Sus2,...,SusN)) Fdrc(Sorg,Sus1,Sus2,...,SusN) ={f1(Sorg - Sus1)+f2(Sus1 - Sus2)+... +fk(Susk-1 - Susk)+...+fN(SusN-1 - SusN)} wherein Sproc represents the image signal, in which the dynamic range has been compressed, Sorg represents the original image signal, Susk (k=1 to N) represents the unsharp mask image signal, fk (k=1 to N) represents the function for converting the band-limited image signal, and D(Sorg-Fdrc) represents the dynamic range compression factor determined in accordance with the low frequency component signal, in which D represents the function for converting Sorg-Fdrc.
Claim 135
Dependent Claim
150 words
A dynamic range compressing method as defined in Claim 123 wherein the formation of said band-limited image signals, the formation of said converted image signals, the formation of said integration signal, the formation of said difference signal, the formation of the signal concerning the low frequency components, and the addition of the signal concerning the low frequency components to the original image signal are carried out with the formula: Sproc=Sorg+D(Sorg-Fdrc(Sorg,Sus1,Sus2,...,SusN)) Fdrc(Sorg,Sus1,Sus2,...,SusN) =(1/N)·{f1(Sorg - Sus1)+f2(Sorg - Sus2)+... +fk(Sorg - Susk)+...+fN(Sorg - SusN)} wherein Sproc represents the image signal, in which the dynamic range has been compressed, Sorg represents the original image signal, Susk (k=1 to N) represents the unsharp mask image signal, fk (k=1 to N) represents the function for converting the band-limited image signal, and D(Sorg-Fdrc) represents the dynamic range compression factor determined in accordance with the low frequency component signal, in which D represents the function for converting Sorg-Fdrc.
Claim 136
Dependent Claim
150 words
A dynamic range compressing method as defined in Claim 124 wherein the formation of said band-limited image signals, the formation of said converted image signals, the formation of said integration signal, the formation of said difference signal, the formation of the signal concerning the low frequency components, and the addition of the signal concerning the low frequency components to the original image signal are carried out with the formula: Sproc=Sorg+D(Sorg-Fdrc(Sorg,Sus1,Sus2,...,SusN)) Fdrc(Sorg,Sus1,Sus2,...,SusN) =(1/N)·{f1(Sorg - Sus1)+f2(Sorg - Sus2)+... +fk(Sorg - Susk)+...+fN(Sorg - SusN)} wherein Sproc represents the image signal, in which the dynamic range has been compressed, Sorg represents the original image signal, Susk (k=1 to N) represents the unsharp mask image signal, fk (k=1 to N) represents the function for converting the band-limited image signal, and D(Sorg-Fdrc) represents the dynamic range compression factor determined in accordance with the low frequency component signal, in which D represents the function for converting Sorg-Fdrc.
Claim 137
Dependent Claim
150 words
A dynamic range compressing method as defined in Claim 128 wherein the formation of said band-limited image signals, the formation of said converted image signals, the formation of said integration signal, the formation of said difference signal, the formation of the signal concerning the low frequency components, and the addition of the signal concerning the low frequency components to the original image signal are carried out with the formula: Sproc=Sorg+D(Sorg-Fdrc(Sorg,Sus1,Sus2,...,SusN)) Fdrc(Sorg,Sus1,Sus2,...,SusN) =(1/N)·{f1(Sorg - Sus1)+f2(Sorg - Sus2)+... +fk(Sorg - Susk)+...+fN(Sorg - SusN)} wherein Sproc represents the image signal, in which the dynamic range has been compressed, Sorg represents the original image signal, Susk (k=1 to N) represents the unsharp mask image signal, fk (k=1 to N) represents the function for converting the band-limited image signal, and D(Sorg-Fdrc) represents the dynamic range compression factor determined in accordance with the low frequency component signal, in which D represents the function for converting Sorg-Fdrc.
Claim 138
Dependent Claim
150 words
A dynamic range compressing method as defined in Claim 123 wherein the formation of said band-limited image signals, the formation of said converted image signals, the formation of said integration signal, the formation of said difference signal, the formation of the signal concerning the low frequency components, and the addition of the signal concerning the low frequency components to the original image signal are carried out with the formula: Sproc=Sorg+D(Sorg-Fdrc(Sus1,Sus2,...,SusN)) Fdrc(Sus1,Sus2,...,SusN) ={f2(Sus1 - Sus2)+f3(Sus2 - Sus3)+... +fk(Susk-1 - Susk)+...+fN(SusN-1 - SusN)} wherein Sproc represents the image signal, in which the dynamic range has been compressed, Sorg represents the original image signal, Susk (k=1 to N) represents the unsharp mask image signal, fk (k=2 to N) represents the function for converting the band-limited image signal, and D(Sorg-Fdrc) represents the dynamic range compression factor determined in accordance with the low frequency component signal, in which D represents the function for converting Sorg-Fdrc.
Claim 139
Dependent Claim
150 words
A dynamic range compressing method as defined in Claim 124 wherein the formation of said band-limited image signals, the formation of said converted image signals, the formation of said integration signal, the formation of said difference signal, the formation of the signal concerning the low frequency components, and the addition of the signal concerning the low frequency components to the original image signal are carried out with the formula: Sproc=Sorg+D(Sorg-Fdrc(Sus1,Sus2,...,SusN)) Fdrc(Sus1,Sus2,...,SusN) ={f2(Sus1 - Sus2)+f3(Sus2 - Sus3)+... +fk(Susk-1 - Susk)+...+fN(SusN-1 - SusN)} wherein Sproc represents the image signal, in which the dynamic range has been compressed, Sorg represents the original image signal, Susk (k=1 to N) represents the unsharp mask image signal, fk (k=2 to N) represents the function for converting the band-limited image signal, and D(Sorg-Fdrc) represents the dynamic range compression factor determined in accordance with the low frequency component signal, in which D represents the function for converting Sorg-Fdrc.
Claim 140
Dependent Claim
150 words
A dynamic range compressing method as defined in Claim 123 wherein the formation of said band-limited image signals, the formation of said converted image signals, the formation of said integration signal, the formation of said difference signal, the formation of the signal concerning the low frequency components, and the addition of the signal concerning the low frequency components to the original image signal are carried out with the formula: Sproc=Sorg+D(Sorg-Fdrc(Sus1,Sus2,...,SusN)) Fdrc(Sus1,Sus2,...,SusN) =(1/N)·{f2(Sus1 - Sus2)+f3(Sus1 - Sus3)+... +fk(Sus1 - Susk)+...+fN(Sus1 - SusN)} wherein Sproc represents the image signal, in which the dynamic range has been compressed, Sorg represents the original image signal, Susk (k=1 to N) represents the unsharp mask image signal, fk (k=2 to N) represents the function for converting the band-limited image signal, and D(Sorg-Fdrc) represents the dynamic range compression factor determined in accordance with the low frequency component signal, in which D represents the function for converting Sorg-Fdrc.
Claim 141
Dependent Claim
150 words
A dynamic range compressing method as defined in Claim 141 wherein the formation of said band-limited image signals, the formation of said converted image signals, the formation of said integration signal, the formation of said difference signal, the formation of the signal concerning the low frequency components, and the addition of the signal concerning the low frequency components to the original image signal are carried out with the formula: Sproc=Sorg+D(Sorg-Fdrc(Sus1,Sus2,...,SusN)) Fdrc(Sus1,Sus2,...,SusN) =(1/N)·{f2(Sus1 - Sus2)+f3(Sus1 - Sus3)+... +fk(Sus1 - Susk)+...+fN(Sus1 - SusN)} wherein Sproc represents the image signal, in which the dynamic range has been compressed, Sorg represents the original image signal, Susk (k=1 to N) represents the unsharp mask image signal, fk (k=2 to N) represents the function for converting the band-limited image signal, and D(Sorg-Fdrc) represents the dynamic range compression factor determined in accordance with the low frequency component signal, in which D represents the function for converting Sorg-Fdrc.
Claim 142
Dependent Claim
223 words
A dynamic range compressing method as defined in Claim 123 wherein the formation of the plurality of said converted image signals is carried out by: converting a band-limited image signal such that the absolute value of the signal value of the band-limited image signal may be converted to a value, which is not larger than said absolute value and is determined in accordance with said absolute value, a restricted image signal being thereby obtained, forming an auxiliary image signal, which contains a signal of a frequency band lower than the frequency band of the band-limited image signal having been used for the formation of said restricted image signal, said auxiliary image signal being formed from the original image signal and the plurality of said unsharp mask image signals, converting said auxiliary image signal such that, as the absolute value of the signal value of said auxiliary image signal becomes small, said absolute value may be converted to a value close to 1, and such that, as the absolute value of the signal value of said auxiliary image signal becomes large, said absolute value may be converted to a value close to 0, a magnification ratio signal corresponding to said restricted image signal being thereby obtained, and multiplying said restricted image signal by said magnification ratio signal, which corresponds to said restricted image signal.
Claim 143
Dependent Claim
184 words
A dynamic range compressing method as defined in Claim 123 wherein the formation of said band-limited image signals, the formation of said converted image signals, the formation of said integration signal, the formation of said difference signal, the formation of the signal concerning the low frequency components, and the addition of the signal concerning the low frequency components to the original image signal are carried out with the formula: Sproc=Sorg+D(Sorg-Fdrc(Sorg,Sus1,Sus2,...,SusN)) Fdrc(Sorg,Sus1,Sus2,...,SusN) ={f1(Sorg - Sus1)·g(Sus1 - Sus2) +f2(Sus1 - Sus2)·g(Sus2 - Sus3)+... +fk(Susk-1 - Susk)·g(Susk - Susk+1)+... +fN(SusN-1 - SusN)·g(SusN - SusN+1)} wherein Sproc represents the image signal, in which the dynamic range has been compressed, Sorg represents the original image signal, Susk (k=1 to N+1) represents the unsharp mask image signal, fk (k=1 to N) represents the function for converting the band-limited image signal and thereby obtaining the restricted image signal, g represents the function for converting the auxiliary image signal and thereby obtaining the magnification ratio signal, and D(Sorg-Fdrc) represents the dynamic range compression factor determined in accordance with the low frequency component signal, in which D represents the function for converting Sorg-Fdrc.
Claim 144
Dependent Claim
184 words
A dynamic range compressing method as defined in Claim 142 wherein the formation of said band-limited image signals, the formation of said converted image signals, the formation of said integration signal, the formation of said difference signal, the formation of the signal concerning the low frequency components, and the addition of the signal concerning the low frequency components to the original image signal are carried out with the formula: Sproc=Sorg+D(Sorg-Fdrc(Sorg,Sus1,Sus2,...,SusN)) Fdrc(Sorg,Sus1,Sus2,...,SusN) ={f1(Sorg - Sus1)·g(Sus1 - Sus2) +f2(Sus1 - Sus2)·g(Sus2 - Sus3)+... +fk(Susk-1 - Susk)·g(Susk - Susk+1)+... +fN(SusN-1 - SusN)·g(SusN - SusN+1)} wherein Sproc represents the image signal, in which the dynamic range has been compressed, Sorg represents the original image signal, Susk (k=1 to N+1) represents the unsharp mask image signal, fk (k=1 to N) represents the function for converting the band-limited image signal and thereby obtaining the restricted image signal, g represents the function for converting the auxiliary image signal and thereby obtaining the magnification ratio signal, and D(Sorg-Fdrc) represents the dynamic range compression factor determined in accordance with the low frequency component signal, in which D represents the function for converting Sorg-Fdrc.
Claim 145
Dependent Claim
184 words
A dynamic range compressing method as defined in Claim 123 wherein the formation of said band-limited image signals, the formation of said converted image signals, the formation of said integration signal, the formation of said difference signal, the formation of the signal concerning the low frequency components, and the addition of the signal concerning the low frequency components to the original image signal are carried out with the formula: Sproc=Sorg+D(Sorg-Fdrc(Sorg,Sus1,Sus2,...,SusN)) Fdrc(Sorg,Sus1,Sus2,...,SusN) ={f1(Sorg - Sus1)·g(Sorg - Sus2) +f2(Sus1 - Sus2)·g(Sorg - Sus3)+... +fk(Susk-1 - Susk)·g(Sorg - Susk+1)+... +fN(SusN-1 - SusN)·g(Sorg - SusN+1)} wherein Sproc represents the image signal, in which the dynamic range has been compressed, Sorg represents the original image signal, Susk (k=1 to N+1) represents the unsharp mask image signal, fk (k=1 to N) represents the function for converting the band-limited image signal and thereby obtaining the restricted image signal, g represents the function for converting the auxiliary image signal and thereby obtaining the magnification ratio signal, and D(Sorg-Fdrc) represents the dynamic range compression factor determined in accordance with the low frequency component signal, in which D represents the function for converting Sorg-Fdrc.
Claim 146
Dependent Claim
184 words
A dynamic range compressing method as defined in Claim 142 wherein the formation of said band-limited image signals, the formation of said converted image signals, the formation of said integration signal, the formation of said difference signal, the formation of the signal concerning the low frequency components, and the addition of the signal concerning the low frequency components to the original image signal are carried out with the formula: Sproc=Sorg+D(Sorg-Fdrc(Sorg,Sus1,Sus2,...,SusN)) Fdrc(Sorg,Sus1,Sus2,...,SusN) ={f1(Sorg - Sus1)·g(Sorg - Sus2) +f2(Sus1 - Sus2)·g(Sorg - Sus3)+... +fk(Susk-1 - Susk)·g(Sorg - Susk+1)+... +fN(SusN-1 - SusN)·g(Sorg - SusN+1)} wherein Sproc represents the image signal, in which the dynamic range has been compressed, Sorg represents the original image signal, Susk (k=1 to N+1) represents the unsharp mask image signal, fk (k=1 to N) represents the function for converting the band-limited image signal and thereby obtaining the restricted image signal, g represents the function for converting the auxiliary image signal and thereby obtaining the magnification ratio signal, and D(Sorg-Fdrc) represents the dynamic range compression factor determined in accordance with the low frequency component signal, in which D represents the function for converting Sorg-Fdrc.
Claim 147
Dependent Claim
187 words
A dynamic range compressing method as defined in Claim 123 wherein the formation of the plurality of said converted image signals is carried out by: converting a low frequency side band-limited image signal, which is of a frequency band lower than the frequency band of a band-limited image signal to be converted, with a non-linear function, an auxiliary image signal for said band-limited image signal to be converted being thereby obtained, said non-linear function having the characteristics such that the function may pass through an origin, such that the inclination of the function at the origin may be equal to approximately 0, and such that the inclination of the function may increase gradually as the value to be processed becomes large, adding said auxiliary image signal to said band-limited image signal to be converted, a composite band-limited image signal being thereby obtained, and converting said composite band-limited image signal such that the absolute value of the signal value of said composite band-limited image signal may be converted to a value, which is not larger than said absolute value and is determined in accordance with said absolute value.
Claim 148
Dependent Claim
178 words
A dynamic range compressing method as defined in Claim 123 wherein the formation of said band-limited image signals, the formation of said converted image signals, the formation of said integration signal, the formation of said difference signal, the formation of the signal concerning the low frequency components, and the addition of the signal concerning the low frequency components to the original image signal are carried out with the formula: Sproc=Sorg+D(Sorg-Fdrc(Sorg,Sus1,Sus2,...,SusN)) Fdrc(Sorg,Sus1,Sus2,...,SusN) =[f1{(Sorg - Sus1)+g(Sus1 - Sus2)} +f2{(Sus1 - Sus2)+g(Sus2 - Sus3)}+... +fk{(Susk-1 - Susk)+g(Susk - Susk+1)}+... +fN{(SusN-1 - SusN)+g(SusN - SusN+1)}] wherein Sproc represents the image signal, in which the dynamic range has been compressed, Sorg represents the original image signal, Susk (k=1 to N+1) represents the unsharp mask image signal, fk (k=1 to N) represents the function for converting the composite band-limited image signal, g represents the function for converting the band-limited image signal and thereby obtaining the auxiliary image signal, and D(Sorg-Fdrc) represents the dynamic range compression factor determined in accordance with the low frequency component signal, in which D represents the function for converting Sorg-Fdrc.
Claim 149
Dependent Claim
178 words
A dynamic range compressing method as defined in Claim 147 wherein the formation of said band-limited image signals, the formation of said converted image signals, the formation of said integration signal, the formation of said difference signal, the formation of the signal concerning the low frequency components, and the addition of the signal concerning the low frequency components to the original image signal are carried out with the formula: Sproc=Sorg+D(Sorg-Fdrc(Sorg,Sus1,Sus2,...,SusN)) Fdrc(Sorg,Sus1,Sus2,...,SusN) =[f1{(Sorg - Sus1)+g(Sus1 - Sus2)} +f2{(Sus1 - Sus2)+g(Sus2 - Sus3)}+... +fk{(Susk-1 - Susk)+g(Susk - Susk+1)}+... +fN{(SusN-1 - SusN)+g(SusN - SusN+1)}] wherein Sproc represents the image signal, in which the dynamic range has been compressed, Sorg represents the original image signal, Susk (k=1 to N+1) represents the unsharp mask image signal, fk (k=1 to N) represents the function for converting the composite band-limited image signal, g represents the function for converting the band-limited image signal and thereby obtaining the auxiliary image signal, and D(Sorg-Fdrc) represents the dynamic range compression factor determined in accordance with the low frequency component signal, in which D represents the function for converting Sorg-Fdrc.
Claim 150
Dependent Claim
48 words
A dynamic range compressing method as defined in Claim 123 wherein the formation of the plurality of said converted image signals is carried out by converting a band-limited image signal in accordance with the portion of an object, the image of which was recorded as the original image.
Claim 151
Dependent Claim
48 words
A dynamic range compressing method as defined in Claim 124 wherein the formation of the plurality of said converted image signals is carried out by converting a band-limited image signal in accordance with the portion of an object, the image of which was recorded as the original image.
Claim 152
Dependent Claim
48 words
A dynamic range compressing method as defined in Claim 128 wherein the formation of the plurality of said converted image signals is carried out by converting a band-limited image signal in accordance with the portion of an object, the image of which was recorded as the original image.
Claim 153
Dependent Claim
48 words
A dynamic range compressing method as defined in Claim 132 wherein the formation of the plurality of said converted image signals is carried out by converting a band-limited image signal in accordance with the portion of an object, the image of which was recorded as the original image.
Claim 154
Dependent Claim
48 words
A dynamic range compressing method as defined in Claim 135 wherein the formation of the plurality of said converted image signals is carried out by converting a band-limited image signal in accordance with the portion of an object, the image of which was recorded as the original image.
Claim 155
Dependent Claim
48 words
A dynamic range compressing method as defined in Claim 138 wherein the formation of the plurality of said converted image signals is carried out by converting a band-limited image signal in accordance with the portion of an object, the image of which was recorded as the original image.
Claim 156
Dependent Claim
48 words
A dynamic range compressing method as defined in Claim 140 wherein the formation of the plurality of said converted image signals is carried out by converting a band-limited image signal in accordance with the portion of an object, the image of which was recorded as the original image.
Claim 157
Dependent Claim
48 words
A dynamic range compressing method as defined in Claim 142 wherein the formation of the plurality of said converted image signals is carried out by converting a band-limited image signal in accordance with the portion of an object, the image of which was recorded as the original image.
Claim 158
Dependent Claim
48 words
A dynamic range compressing method as defined in Claim 143 wherein the formation of the plurality of said converted image signals is carried out by converting a band-limited image signal in accordance with the portion of an object, the image of which was recorded as the original image.
Claim 159
Dependent Claim
48 words
A dynamic range compressing method as defined in Claim 145 wherein the formation of the plurality of said converted image signals is carried out by converting a band-limited image signal in accordance with the portion of an object, the image of which was recorded as the original image.
Claim 160
Dependent Claim
48 words
A dynamic range compressing method as defined in Claim 147 wherein the formation of the plurality of said converted image signals is carried out by converting a band-limited image signal in accordance with the portion of an object, the image of which was recorded as the original image.
Claim 161
Dependent Claim
48 words
A dynamic range compressing method as defined in Claim 148 wherein the formation of the plurality of said converted image signals is carried out by converting a band-limited image signal in accordance with the portion of an object, the image of which was recorded as the original image.
Claim 162
Dependent Claim
67 words
A dynamic range compressing method as defined in Claim 123 wherein the original image has been obtained from a tomographic image recording operation and contains a flow pattern, and the formation of the plurality of said unsharp mask image signals is carried out by conducting unsharp mask processing on the original image signal by using a one-dimensional unsharp mask extending along the direction of said flow pattern.
Claim 163
Dependent Claim
67 words
A dynamic range compressing method as defined in Claim 124 wherein the original image has been obtained from a tomographic image recording operation and contains a flow pattern, and the formation of the plurality of said unsharp mask image signals is carried out by conducting unsharp mask processing on the original image signal by using a one-dimensional unsharp mask extending along the direction of said flow pattern.
Claim 164
Dependent Claim
67 words
A dynamic range compressing method as defined in Claim 128 wherein the original image has been obtained from a tomographic image recording operation and contains a flow pattern, and the formation of the plurality of said unsharp mask image signals is carried out by conducting unsharp mask processing on the original image signal by using a one-dimensional unsharp mask extending along the direction of said flow pattern.
Claim 165
Dependent Claim
67 words
A dynamic range compressing method as defined in Claim 132 wherein the original image has been obtained from a tomographic image recording operation and contains a flow pattern, and the formation of the plurality of said unsharp mask image signals is carried out by conducting unsharp mask processing on the original image signal by using a one-dimensional unsharp mask extending along the direction of said flow pattern.
Claim 166
Dependent Claim
67 words
A dynamic range compressing method as defined in Claim 135 wherein the original image has been obtained from a tomographic image recording operation and contains a flow pattern, and the formation of the plurality of said unsharp mask image signals is carried out by conducting unsharp mask processing on the original image signal by using a one-dimensional unsharp mask extending along the direction of said flow pattern.
Claim 167
Dependent Claim
67 words
A dynamic range compressing method as defined in Claim 138 wherein the original image has been obtained from a tomographic image recording operation and contains a flow pattern, and the formation of the plurality of said unsharp mask image signals is carried out by conducting unsharp mask processing on the original image signal by using a one-dimensional unsharp mask extending along the direction of said flow pattern.
Claim 168
Dependent Claim
67 words
A dynamic range compressing method as defined in Claim 140 wherein the original image has been obtained from a tomographic image recording operation and contains a flow pattern, and the formation of the plurality of said unsharp mask image signals is carried out by conducting unsharp mask processing on the original image signal by using a one-dimensional unsharp mask extending along the direction of said flow pattern.
Claim 169
Dependent Claim
67 words
A dynamic range compressing method as defined in Claim 142 wherein the original image has been obtained from a tomographic image recording operation and contains a flow pattern, and the formation of the plurality of said unsharp mask image signals is carried out by conducting unsharp mask processing on the original image signal by using a one-dimensional unsharp mask extending along the direction of said flow pattern.
Claim 170
Dependent Claim
67 words
A dynamic range compressing method as defined in Claim 143 wherein the original image has been obtained from a tomographic image recording operation and contains a flow pattern, and the formation of the plurality of said unsharp mask image signals is carried out by conducting unsharp mask processing on the original image signal by using a one-dimensional unsharp mask extending along the direction of said flow pattern.
Claim 171
Dependent Claim
67 words
A dynamic range compressing method as defined in Claim 145 wherein the original image has been obtained from a tomographic image recording operation and contains a flow pattern, and the formation of the plurality of said unsharp mask image signals is carried out by conducting unsharp mask processing on the original image signal by using a one-dimensional unsharp mask extending along the direction of said flow pattern.
Claim 172
Dependent Claim
67 words
A dynamic range compressing method as defined in Claim 147 wherein the original image has been obtained from a tomographic image recording operation and contains a flow pattern, and the formation of the plurality of said unsharp mask image signals is carried out by conducting unsharp mask processing on the original image signal by using a one-dimensional unsharp mask extending along the direction of said flow pattern.
Claim 173
Dependent Claim
67 words
A dynamic range compressing method as defined in Claim 148 wherein the original image has been obtained from a tomographic image recording operation and contains a flow pattern, and the formation of the plurality of said unsharp mask image signals is carried out by conducting unsharp mask processing on the original image signal by using a one-dimensional unsharp mask extending along the direction of said flow pattern.
Claim 174
Dependent Claim
67 words
A dynamic range compressing method as defined in Claim 150 wherein the original image has been obtained from a tomographic image recording operation and contains a flow pattern, and the formation of the plurality of said unsharp mask image signals is carried out by conducting unsharp mask processing on the original image signal by using a one-dimensional unsharp mask extending along the direction of said flow pattern.
Claim 175
Dependent Claim
255 words
A dynamic range compressing apparatus, wherein a signal concerning low frequency components of an original image is added to an original image signal, which represents the original image, and the dynamic range of the original image is thereby compressed, the apparatus comprising: i) an unsharp mask image signal forming means for forming a plurality of unsharp mask image signals, which have different frequency response characteristics, from the original image signal, ii) a band-limited image signal forming means for forming a plurality of band-limited image signals, each of which represents one of signals falling within a plurality of different frequency bands of the original image signal, from the original image signal and the plurality of said unsharp mask image signals, or from the plurality of said unsharp mask image signals, iii) a conversion means for carrying out a converting process on at least a single band-limited image signal, which is among the plurality of said band-limited image signals, such that at least a portion of the band-limited image signal may become small, and thereby forming a plurality of converted image signals, iv) an integration means for integrating the plurality of said converted image signals, and thereby obtaining an integration signal, v) a subtraction means for subtracting said integration signal from the original image signal, and thereby obtaining a difference signal, and vi) a compressing process means for converting said difference signal, and thereby obtaining the signal concerning the low frequency components of the original image, which signal is to be added to the original image signal.
Claim 176
Dependent Claim
75 words
A dynamic range compressing apparatus as defined in Claim 175 wherein said conversion means forms the plurality of said converted image signals by converting a band-limited image signal having a signal value, the absolute value of which is larger than a predetermined threshold value, such that the absolute value of the signal value of the band-limited image signal, which absolute value is larger than the predetermined threshold value, may be converted to a small value.
Claim 177
Dependent Claim
119 words
A dynamic range compressing apparatus as defined in Claim 176 wherein said conversion means forms the plurality of said converted image signals by converting a band-limited image signal such that, as the absolute value of the signal value of the band-limited image signal becomes larger than the predetermined threshold value, the absolute value of the signal value of the band-limited image signal may be converted to a small value, and such that, as the absolute value of the signal value of the band-limited image signal becomes smaller than a different threshold value, which is smaller than the predetermined threshold value, the absolute value of the signal value of the band-limited image signal may be converted to a small value.
Claim 178
Dependent Claim
59 words
A dynamic range compressing apparatus as defined in Claim 176 wherein said conversion means forms the plurality of said converted image signals by converting a band-limited image signal such that the level of the absolute value of the signal value of the band-limited image signal may be changed in accordance with the frequency band of the band-limited image signal.
Claim 179
Dependent Claim
59 words
A dynamic range compressing apparatus as defined in Claim 177 wherein said conversion means forms the plurality of said converted image signals by converting a band-limited image signal such that the level of the absolute value of the signal value of the band-limited image signal may be changed in accordance with the frequency band of the band-limited image signal.
Claim 180
Dependent Claim
80 words
A dynamic range compressing apparatus as defined in Claim 175 wherein said conversion means forms the plurality of said converted image signals by converting a band-limited image signal in accordance with one of a plurality of functions, which vary for different frequency bands, such that the absolute value of the signal value of the band-limited image signal may be converted to a value, which is not larger than said absolute value and is determined in accordance with said absolute value.
Claim 181
Dependent Claim
94 words
A dynamic range compressing apparatus as defined in Claim 180 wherein each of the functions, which are used for the formation of said converted image signals, converts a band-limited image signal having a signal value, the absolute value of which is larger than a predetermined value, such that the value of the converted image signal may become approximately equal to a predetermined level, and wherein the functions are set such that, in a function for processing a high frequency band, said predetermined value is set to be smaller than those in the other functions.
Claim 182
Dependent Claim
83 words
A dynamic range compressing apparatus as defined in Claim 180 wherein the functions, which are used for the formation of said converted image signals, are set such that, in a function for processing a low frequency band, the absolute value of the converted image signal, that is obtained when the band-limited image signal having a signal value, the absolute value of which falls within a predetermined range close to 0, is converted, may take a value smaller than those in the other functions.
Claim 183
Dependent Claim
83 words
A dynamic range compressing apparatus as defined in Claim 181 wherein the functions, which are used for the formation of said converted image signals, are set such that, in a function for processing a low frequency band, the absolute value of the converted image signal, that is obtained when the band-limited image signal having a signal value, the absolute value of which falls within a predetermined range close to 0, is converted, may take a value smaller than those in the other functions.
Claim 184
Dependent Claim
150 words
A dynamic range compressing apparatus as defined in Claim 175 wherein the formation of said band-limited image signals, the formation of said converted image signals, the formation of said integration signal, the formation of said difference signal, the formation of the signal concerning the low frequency components, and the addition of the signal concerning the low frequency components to the original image signal are carried out with the formula: Sproc=Sorg+D(Sorg-Fdrc(Sorg,Sus1,Sus2,...,SusN)) Fdrc(Sorg,Sus1,Sus2,...,SusN) ={f1(Sorg - Sus1)+f2(Sus1 - Sus2)+... +fk(Susk-1 - Susk)+...+fN(SusN-1 - SusN)} wherein Sproc represents the image signal, in which the dynamic range has been compressed, Sorg represents the original image signal, Susk (k=1 to N) represents the unsharp mask image signal, fk (k=1 to N) represents the function for converting the band-limited image signal, and D(Sorg-Fdrc) represents the dynamic range compression factor determined in accordance with the low frequency component signal, in which D represents the function for converting Sorg-Fdrc.
Claim 185
Dependent Claim
151 words
A dynamic range compressing apparatus as defined in Claim 176 wherein the formation of said band-limited image signals, the formation of said converted image signals, the formation of said integration signal, the formation of said difference signal, the formation of the signal concerning the low frequency components, and the addition of the signal concerning the low frequency components to the original image signal are carried out with the formula: Sproc=Sorg+D(Sorg-Fdrc(Sorg,Sus1,Sus2,... ,SusN)) Fdrc(Sorg,Sus1,Sus2,...,SusN) ={f1(Sorg - Sus1)+f2(Sus1 - Sus2)+... +fk(Susk-1 - Susk)+...+fN(SusN-1 - SusN)} wherein Sproc represents the image signal, in which the dynamic range has been compressed, Sorg represents the original image signal, Susk (k=1 to N) represents the unsharp mask image signal, fk (k=1 to N) represents the function for converting the band-limited image signal, and D(Sorg-Fdrc) represents the dynamic range compression factor determined in accordance with the low frequency component signal, in which D represents the function for converting Sorg-Fdrc.
Claim 186
Dependent Claim
150 words
A dynamic range compressing apparatus as defined in Claim 180 wherein the formation of said band-limited image signals, the formation of said converted image signals, the formation of said integration signal, the formation of said difference signal, the formation of the signal concerning the low frequency components, and the addition of the signal concerning the low frequency components to the original image signal are carried out with the formula: Sproc=Sorg+D(Sorg-Fdrc(Sorg,Sus1,Sus2,...,SusN)) Fdrc(Sorg,Sus1,Sus2,...,SusN) ={f1(Sorg - Sus1)+f2(Sus1 - Sus2)+... +fk(Susk-1 - Susk)+...+fN(SusN-1 - SusN)} wherein Sproc represents the image signal, in which the dynamic range has been compressed, Sorg represents the original image signal, Susk (k=1 to N) represents the unsharp mask image signal, fk (k=1 to N) represents the function for converting the band-limited image signal, and D(Sorg-Fdrc) represents the dynamic range compression factor determined in accordance with the low frequency component signal, in which D represents the function for converting Sorg-Fdrc.
Claim 187
Dependent Claim
150 words
A dynamic range compressing apparatus as defined in Claim 175 wherein the formation of said band-limited image signals, the formation of said converted image signals, the formation of said integration signal, the formation of said difference signal, the formation of the signal concerning the low frequency components, and the addition of the signal concerning the low frequency components to the original image signal are carried out with the formula: Sproc=Sorg+D(Sorg-Fdrc(Sorg,Sus1,Sus2,...,SusN)) Fdrc(Sorg,Sus1,Sus2,...,SusN) =(1/N)·{f1(Sorg - Sus1)+f2(Sorg - Sus2)+... +fk(Sorg - Susk)+...+fN(Sorg - SusN)} wherein Sproc represents the image signal, in which the dynamic range has been compressed, Sorg represents the original image signal, Susk (k=1 to N) represents the unsharp mask image signal, fk (k=1 to N) represents the function for converting the band-limited image signal, and D(Sorg-Fdrc) represents the dynamic range compression factor determined in accordance with the low frequency component signal, in which D represents the function for converting Sorg-Fdrc.
Claim 188
Dependent Claim
150 words
A dynamic range compressing apparatus as defined in Claim 176 wherein the formation of said band-limited image signals, the formation of said converted image signals, the formation of said integration signal, the formation of said difference signal, the formation of the signal concerning the low frequency components, and the addition of the signal concerning the low frequency components to the original image signal are carried out with the formula: Sproc=Sorg+D(Sorg-Fdrc(Sorg,Sus1,Sus2,...,SusN)) Fdrc(Sorg,Sus1,Sus2,...,SusN) =(1/N)·{f1(Sorg - Sus1)+f2(Sorg - Sus2)+... +fk(Sorg - Susk)+...+fN(Sorg - SusN)} wherein Sproc represents the image signal, in which the dynamic range has been compressed, Sorg represents the original image signal, Susk (k=1 to N) represents the unsharp mask image signal, fk (k=1 to N) represents the function for converting the band-limited image signal, and D(Sorg-Fdrc) represents the dynamic range compression factor determined in accordance with the low frequency component signal, in which D represents the function for converting Sorg-Fdrc.
Claim 189
Dependent Claim
150 words
A dynamic range compressing apparatus as defined in Claim 180 wherein the formation of said band-limited image signals, the formation of said converted image signals, the formation of said integration signal, the formation of said difference signal, the formation of the signal concerning the low frequency components, and the addition of the signal concerning the low frequency components to the original image signal are carried out with the formula: Sproc=Sorg+D(Sorg-Fdrc(Sorg,Sus1,Sus2,...,SusN)) Fdrc(Sorg,Sus1,Sus2,...,SusN) =(1/N)·{f1(Sorg - Sus1)+f2(Sorg - Sus2)+... +fk(Sorg - Susk)+...+fN(Sorg - SusN)} wherein Sproc represents the image signal, in which the dynamic range has been compressed, Sorg represents the original image signal, Susk (k=1 to N) represents the unsharp mask image signal, fk (k=1 to N) represents the function for converting the band-limited image signal, and D(Sorg-Fdrc) represents the dynamic range compression factor determined in accordance with the low frequency component signal, in which D represents the function for converting Sorg-Fdrc.
Claim 190
Dependent Claim
150 words
A dynamic range compressing apparatus as defined in Claim 175 wherein the formation of said band-limited image signals, the formation of said converted image signals, the formation of said integration signal, the formation of said difference signal, the formation of the signal concerning the low frequency components, and the addition of the signal concerning the low frequency components to the original image signal are carried out with the formula: Sproc=Sorg+D(Sorg-Fdrc(Sus1,Sus2,...,SusN)) Fdrc(Sus1,Sus2,...,SusN) ={f2(Sus1 - Sus2)+f3(Sus2 - Sus3)+... +fk(Susk-1 - Susk)+...+fN(SusN-1 - SusN)} wherein Sproc represents the image signal, in which the dynamic range has been compressed, Sorg represents the original image signal, Susk (k=1 to N) represents the unsharp mask image signal, fk (k=2 to N) represents the function for converting the band-limited image signal, and D(Sorg-Fdrc) represents the dynamic range compression factor determined in accordance with the low frequency component signal, in which D represents the function for converting Sorg-Fdrc.
Claim 191
Dependent Claim
150 words
A dynamic range compressing apparatus as defined in Claim 176 wherein the formation of said band-limited image signals, the formation of said converted image signals, the formation of said integration signal, the formation of said difference signal, the formation of the signal concerning the low frequency components, and the addition of the signal concerning the low frequency components to the original image signal are carried out with the formula: Sproc=Sorg+D(Sorg-Fdrc(Sus1,Sus2,...,SusN)) Fdrc(Sus1,Sus2,...,SusN) ={f2(Sus1 - Sus2)+f3(Sus2 - Sus3)+... +fk(Susk-1 - Susk)+...+fN(SusN-1 - SusN)} wherein Sproc represents the image signal, in which the dynamic range has been compressed, Sorg represents the original image signal, Susk (k=1 to N) represents the unsharp mask image signal, fk (k=2 to N) represents the function for converting the band-limited image signal, and D(Sorg-Fdrc) represents the dynamic range compression factor determined in accordance with the low frequency component signal, in which D represents the function for converting Sorg-Fdrc.
Claim 192
Dependent Claim
150 words
A dynamic range compressing apparatus as defined in Claim 175 wherein the formation of said band-limited image signals, the formation of said converted image signals, the formation of said integration signal, the formation of said difference signal, the formation of the signal concerning the low frequency components, and the addition of the signal concerning the low frequency components to the original image signal are carried out with the formula: Sproc=Sorg+D(Sorg-Fdrc(Sus1,Sus2,...,SusN)) Fdrc(Sus1,Sus2,...,SusN) =(1/N)·{f2(Sus1 - Sus2)+f3(Sus1 - Sus3)+... +fk(Sus1 - Susk)+...+fN(Sus1 - SusN)} wherein Sproc represents the image signal, in which the dynamic range has been compressed, Sorg represents the original image signal, Susk (k=1 to N) represents the unsharp mask image signal, fk (k=2 to N) represents the function for converting the band-limited image signal, and D(Sorg-Fdrc) represents the dynamic range compression factor determined in accordance with the low frequency component signal, in which D represents the function for converting Sorg-Fdrc.
Claim 193
Dependent Claim
150 words
A dynamic range compressing apparatus as defined in Claim 176 wherein the formation of said band-limited image signals, the formation of said converted image signals, the formation of said integration signal, the formation of said difference signal, the formation of the signal concerning the low frequency components, and the addition of the signal concerning the low frequency components to the original image signal are carried out with the formula: Sproc=Sorg+D(Sorg-Fdrc(Sus1,Sus2,...,SusN)) Fdrc(Sus1,Sus2,...,SusN) =(1/N)·{f2(Sus1 - Sus2)+f3(Sus1 - Sus3)+... +fk(Sus1 - Susk)+...+fN(Sus1 - SusN)} wherein Sproc represents the image signal, in which the dynamic range has been compressed, Sorg represents the original image signal, Susk (k=1 to N) represents the unsharp mask image signal, fk (k=2 to N) represents the function for converting the band-limited image signal, and D(Sorg-Fdrc) represents the dynamic range compression factor determined in accordance with the low frequency component signal, in which D represents the function for converting Sorg-Fdrc.
Claim 194
Dependent Claim
238 words
A dynamic range compressing apparatus as defined in Claim 175 wherein said conversion means comprises: a restricted image signal forming means for converting a band-limited image signal such that the absolute value of the signal value of the band-limited image signal may be converted to a value, which is not larger than said absolute value and is determined in accordance with said absolute value, and thereby obtaining a restricted image signal, an auxiliary image signal forming means for forming an auxiliary image signal, which contains a signal of a frequency band lower than the frequency band of the band-limited image signal having been used for the formation of said restricted image signal, said auxiliary image signal being formed from the original image signal and the plurality of said unsharp mask image signals, a magnification ratio signal forming means for converting said auxiliary image signal such that, as the absolute value of the signal value of said auxiliary image signal becomes small, said absolute value may be converted to a value close to 1, and such that, as the absolute value of the signal value of said auxiliary image signal becomes large, said absolute value may be converted to a value close to 0, and thereby obtaining a magnification ratio signal corresponding to said restricted image signal, and a multiplication means for multiplying said restricted image signal by said magnification ratio signal, which corresponds to said restricted image signal.
Claim 195
Dependent Claim
184 words
A dynamic range compressing apparatus as defined in Claim 175 wherein the formation of said band-limited image signals, the formation of said converted image signals, the formation of said integration signal, the formation of said difference signal, the formation of the signal concerning the low frequency components, and the addition of the signal concerning the low frequency components to the original image signal are carried out with the formula: Sproc=Sorg+D(Sorg-Fdrc(Sorg,Sus1,Sus2,...,SusN)) Fdrc(Sorg,Sus1,Sus2,...,SusN) ={f1(Sorg - Sus1)·g(Sus1 - Sus2) +f2(Sus1 - Sus2)·g(Sus2 - Sus3)+... +fk(Susk-1 - Susk)·g(Susk - Susk+1)+... +fN(SusN-1 - SusN)·g(SusN - SusN+1)} wherein Sproc represents the image signal, in which the dynamic range has been compressed, Sorg represents the original image signal, Susk (k=1 to N+1) represents the unsharp mask image signal, fk (k=1 to N) represents the function for converting the band-limited image signal and thereby obtaining the restricted image signal, g represents the function for converting the auxiliary image signal and thereby obtaining the magnification ratio signal, and D(Sorg-Fdrc) represents the dynamic range compression factor determined in accordance with the low frequency component signal, in which D represents the function for converting Sorg-Fdrc.
Claim 196
Dependent Claim
184 words
A dynamic range compressing apparatus as defined in Claim 194 wherein the formation of said band-limited image signals, the formation of said converted image signals, the formation of said integration signal, the formation of said difference signal, the formation of the signal concerning the low frequency components, and the addition of the signal concerning the low frequency components to the original image signal are carried out with the formula: Sproc=Sorg+D(Sorg-Fdrc(Sorg,Sus1,Sus2,...,SusN)) Fdrc(Sorg,Sus1,Sus2,...,SusN) ={f1(Sorg - Sus1)·g(Sus1 - Sus2) +f2(Sus1 - Sus2)·g(Sus2 - Sus3)+... +fk(Susk-1 - Susk)·g(Susk - Susk+1)+... +fN(SusN-1 - SusN)·g(SusN - SusN+1)} wherein Sproc represents the image signal, in which the dynamic range has been compressed, Sorg represents the original image signal, Susk (k=1 to N+1) represents the unsharp mask image signal, fk (k=1 to N) represents the function for converting the band-limited image signal and thereby obtaining the restricted image signal, g represents the function for converting the auxiliary image signal and thereby obtaining the magnification ratio signal, and D(Sorg-Fdrc) represents the dynamic range compression factor determined in accordance with the low frequency component signal, in which D represents the function for converting Sorg-Fdrc.
Claim 197
Dependent Claim
184 words
A dynamic range compressing apparatus as defined in Claim 175 wherein the formation of said band-limited image signals, the formation of said converted image signals, the formation of said integration signal, the formation of said difference signal, the formation of the signal concerning the low frequency components, and the addition of the signal concerning the low frequency components to the original image signal are carried out with the formula: Sproc=Sorg+D(Sorg-Fdrc(Sorg,Sus1,Sus2,...,SusN)) Fdrc(Sorg,Sus1,Sus2,...,SusN) ={f1(Sorg - Sus1)·g(Sorg - Sus2) +f2(Sus1 - Sus2)·g(Sorg - Sus3)+... +fk(Susk-1 - Susk)·g(Sorg - Susk+1)+... +fN(SusN-1 - SusN)·g(Sorg - SusN+1)} wherein Sproc represents the image signal, in which the dynamic range has been compressed, Sorg represents the original image signal, Susk (k=1 to N+1) represents the unsharp mask image signal, fk (k=1 to N) represents the function for converting the band-limited image signal and thereby obtaining the restricted image signal, g represents the function for converting the auxiliary image signal and thereby obtaining the magnification ratio signal, and D(Sorg-Fdrc) represents the dynamic range compression factor determined in accordance with the low frequency component signal, in which D represents the function for converting Sorg-Fdrc.
Claim 198
Dependent Claim
185 words
A dynamic range compressing apparatus as defined in Claim 194 wherein the formation of said band-limited image signals, the formation of said converted image signals, the formation of said integration signal, the formation of said difference signal, the formation of the signal concerning the low frequency components, and the addition of the signal concerning the low frequency components to the original image signal are carried out with the formula: Sproc=Sorg+D(Sorg-Fdrc(Sorg,Sus1,Sus2,...,SusN)) Fdrc(Sorg,Sus1,Sus2,...,SusN) ={f1(Sorg - Sus1)·g(Sorg - Sus2) +f2 (Sus1 - Sus2)·g(Sorg - Sus3)+... +fk(Susk-1 - Susk)·g(Sorg - Susk+1)+... +fN(SusN-1 - SusN)·g(Sorg - SusN+1)} wherein Sproc represents the image signal, in which the dynamic range has been compressed, Sorg represents the original image signal, Susk (k=1 to N+1) represents the unsharp mask image signal, fk (k=1 to N) represents the function for converting the band-limited image signal and thereby obtaining the restricted image signal, g represents the function for converting the auxiliary image signal and thereby obtaining the magnification ratio signal, and D(Sorg-Fdrc) represents the dynamic range compression factor determined in accordance with the low frequency component signal, in which D represents the function for converting Sorg-Fdrc.
Claim 199
Dependent Claim
206 words
A dynamic range compressing apparatus as defined in Claim 175 wherein said conversion means comprises: an auxiliary image signal forming means for converting a low frequency side band-limited image signal, which is of a frequency band lower than the frequency band of a band-limited image signal to be converted, with a non-linear function, and thereby obtaining an auxiliary image signal for said band-limited image signal to be converted, said non-linear function having the characteristics such that the function may pass through an origin, such that the inclination of the function at the origin may be equal to approximately 0, and such that the inclination of the function may increase gradually as the value to be processed becomes large, a composite band-limited image signal forming means for adding said auxiliary image signal to said band-limited image signal to be converted, and thereby obtaining a composite band-limited image signal, and a converted image signal forming means for converting said composite band-limited image signal such that the absolute value of the signal value of said composite band-limited image signal may be converted to a value, which is not larger than said absolute value and is determined in accordance with said absolute value, and thereby forming a converted image signal.
Claim 200
Dependent Claim
178 words
A dynamic range compressing apparatus as defined in Claim 175 wherein the formation of said band-limited image signals, the formation of said converted image signals, the formation of said integration signal, the formation of said difference signal, the formation of the signal concerning the low frequency components, and the addition of the signal concerning the low frequency components to the original image signal are carried out with the formula: Sproc=Sorg+D(Sorg-Fdrc(Sorg,Sus1,Sus2,...,SusN)) Fdrc(Sorg,Sus1,Sus2,...,SusN) =[f1{(Sorg - Sus1)+g(Sus1 - Sus2)} +f2{(Sus1 - Sus2)+g(Sus2 - Sus3)}+... +fk{(Susk-1 - Susk)+g(Susk - Susk+1)}+... +fN{(SusN-1 - SusN)+g(SusN - SusN+1)}] wherein Sproc represents the image signal, in which the dynamic range has been compressed, Sorg represents the original image signal, Susk (k=1 to N+1) represents the unsharp mask image signal, fk (k=1 to N) represents the function for converting the composite band-limited image signal, g represents the function for converting the band-limited image signal and thereby obtaining the auxiliary image signal, and D(Sorg-Fdrc) represents the dynamic range compression factor determined in accordance with the low frequency component signal, in which D represents the function for converting Sorg-Fdrc.
Claim 201
Dependent Claim
178 words
A dynamic range compressing apparatus as defined in Claim 199 wherein the formation of said band-limited image signals, the formation of said converted image signals, the formation of said integration signal, the formation of said difference signal, the formation of the signal concerning the low frequency components, and the addition of the signal concerning the low frequency components to the original image signal are carried out with the formula: Sproc=Sorg+D(Sorg-Fdrc(Sorg,Sus1,Sus2,...,SusN)) Fdrc(Sorg,Sus1,Sus2,...,SusN) =[f1{(Sorg - Sus1)+g(Sus1 - Sus2)} +f2{(Sus1 - Sus2)+g(Sus2 - Sus3)}+... +fk{(Susk-1 - Susk)+g(Susk - Susk+1)}+... +fN{(SusN-1 - SusN)+g(SusN - SusN+1)}] wherein Sproc represents the image signal, in which the dynamic range has been compressed, Sorg represents the original image signal, Susk (k=1 to N+1) represents the unsharp mask image signal, fk (k=1 to N) represents the function for converting the composite band-limited image signal, g represents the function for converting the band-limited image signal and thereby obtaining the auxiliary image signal, and D(Sorg-Fdrc) represents the dynamic range compression factor determined in accordance with the low frequency component signal, in which D represents the function for converting Sorg-Fdrc.
Claim 202
Dependent Claim
46 words
A dynamic range compressing apparatus as defined in Claim 175 wherein said conversion means forms the plurality of said converted image signals by converting a band-limited image signal in accordance with the portion of an object, the image of which was recorded as the original image.
Claim 203
Dependent Claim
46 words
A dynamic range compressing apparatus as defined in Claim 176 wherein said conversion means forms the plurality of said converted image signals by converting a band-limited image signal in accordance with the portion of an object, the image of which was recorded as the original image.
Claim 204
Dependent Claim
46 words
A dynamic range compressing apparatus as defined in Claim 180 wherein said conversion means forms the plurality of said converted image signals by converting a band-limited image signal in accordance with the portion of an object, the image of which was recorded as the original image.
Claim 205
Dependent Claim
46 words
A dynamic range compressing apparatus as defined in Claim 184 wherein said conversion means forms the plurality of said converted image signals by converting a band-limited image signal in accordance with the portion of an object, the image of which was recorded as the original image.
Claim 206
Dependent Claim
46 words
A dynamic range compressing apparatus as defined in Claim 187 wherein said conversion means forms the plurality of said converted image signals by converting a band-limited image signal in accordance with the portion of an object, the image of which was recorded as the original image.
Claim 207
Dependent Claim
46 words
A dynamic range compressing apparatus as defined in Claim 190 wherein said conversion means forms the plurality of said converted image signals by converting a band-limited image signal in accordance with the portion of an object, the image of which was recorded as the original image.
Claim 208
Dependent Claim
46 words
A dynamic range compressing apparatus as defined in Claim 192 wherein said conversion means forms the plurality of said converted image signals by converting a band-limited image signal in accordance with the portion of an object, the image of which was recorded as the original image.
Claim 209
Dependent Claim
46 words
A dynamic range compressing apparatus as defined in Claim 194 wherein said conversion means forms the plurality of said converted image signals by converting a band-limited image signal in accordance with the portion of an object, the image of which was recorded as the original image.
Claim 210
Dependent Claim
46 words
A dynamic range compressing apparatus as defined in Claim 195 wherein said conversion means forms the plurality of said converted image signals by converting a band-limited image signal in accordance with the portion of an object, the image of which was recorded as the original image.
Claim 211
Dependent Claim
46 words
A dynamic range compressing apparatus as defined in Claim 197 wherein said conversion means forms the plurality of said converted image signals by converting a band-limited image signal in accordance with the portion of an object, the image of which was recorded as the original image.
Claim 212
Dependent Claim
46 words
A dynamic range compressing apparatus as defined in Claim 199 wherein said conversion means forms the plurality of said converted image signals by converting a band-limited image signal in accordance with the portion of an object, the image of which was recorded as the original image.
Claim 213
Dependent Claim
46 words
A dynamic range compressing apparatus as defined in Claim 200 wherein said conversion means forms the plurality of said converted image signals by converting a band-limited image signal in accordance with the portion of an object, the image of which was recorded as the original image.
Claim 214
Dependent Claim
69 words
A dynamic range compressing apparatus as defined in Claim 175 wherein the original image has been obtained from a tomographic image recording operation and contains a flow pattern, and said unsharp mask image signal forming means forms the plurality of said unsharp mask image signals by conducting unsharp mask processing on the original image signal by using a one-dimensional unsharp mask extending along the direction of said flow pattern.
Claim 215
Dependent Claim
69 words
A dynamic range compressing apparatus as defined in Claim 176 wherein the original image has been obtained from a tomographic image recording operation and contains a flow pattern, and said unsharp mask image signal forming means forms the plurality of said unsharp mask image signals by conducting unsharp mask processing on the original image signal by using a one-dimensional unsharp mask extending along the direction of said flow pattern.
Claim 216
Dependent Claim
69 words
A dynamic range compressing apparatus as defined in Claim 180 wherein the original image has been obtained from a tomographic image recording operation and contains a flow pattern, and said unsharp mask image signal forming means forms the plurality of said unsharp mask image signals by conducting unsharp mask processing on the original image signal by using a one-dimensional unsharp mask extending along the direction of said flow pattern.
Claim 217
Dependent Claim
69 words
A dynamic range compressing apparatus as defined in Claim 184 wherein the original image has been obtained from a tomographic image recording operation and contains a flow pattern, and said unsharp mask image signal forming means forms the plurality of said unsharp mask image signals by conducting unsharp mask processing on the original image signal by using a one-dimensional unsharp mask extending along the direction of said flow pattern.
Claim 218
Dependent Claim
69 words
A dynamic range compressing apparatus as defined in Claim 187 wherein the original image has been obtained from a tomographic image recording operation and contains a flow pattern, and said unsharp mask image signal forming means forms the plurality of said unsharp mask image signals by conducting unsharp mask processing on the original image signal by using a one-dimensional unsharp mask extending along the direction of said flow pattern.
Claim 219
Dependent Claim
69 words
A dynamic range compressing apparatus as defined in Claim 190 wherein the original image has been obtained from a tomographic image recording operation and contains a flow pattern, and said unsharp mask image signal forming means forms the plurality of said unsharp mask image signals by conducting unsharp mask processing on the original image signal by using a one-dimensional unsharp mask extending along the direction of said flow pattern.
Claim 220
Dependent Claim
69 words
A dynamic range compressing apparatus as defined in Claim 192 wherein the original image has been obtained from a tomographic image recording operation and contains a flow pattern, and said unsharp mask image signal forming means forms the plurality of said unsharp mask image signals by conducting unsharp mask processing on the original image signal by using a one-dimensional unsharp mask extending along the direction of said flow pattern.
Claim 221
Dependent Claim
69 words
A dynamic range compressing apparatus as defined in Claim 194 wherein the original image has been obtained from a tomographic image recording operation and contains a flow pattern, and said unsharp mask image signal forming means forms the plurality of said unsharp mask image signals by conducting unsharp mask processing on the original image signal by using a one-dimensional unsharp mask extending along the direction of said flow pattern.
Claim 222
Dependent Claim
69 words
A dynamic range compressing apparatus as defined in Claim 195 wherein the original image has been obtained from a tomographic image recording operation and contains a flow pattern, and said unsharp mask image signal forming means forms the plurality of said unsharp mask image signals by conducting unsharp mask processing on the original image signal by using a one-dimensional unsharp mask extending along the direction of said flow pattern.
Claim 223
Dependent Claim
69 words
A dynamic range compressing apparatus as defined in Claim 197 wherein the original image has been obtained from a tomographic image recording operation and contains a flow pattern, and said unsharp mask image signal forming means forms the plurality of said unsharp mask image signals by conducting unsharp mask processing on the original image signal by using a one-dimensional unsharp mask extending along the direction of said flow pattern.
Claim 224
Dependent Claim
69 words
A dynamic range compressing apparatus as defined in Claim 199 wherein the original image has been obtained from a tomographic image recording operation and contains a flow pattern, and said unsharp mask image signal forming means forms the plurality of said unsharp mask image signals by conducting unsharp mask processing on the original image signal by using a one-dimensional unsharp mask extending along the direction of said flow pattern.
Claim 225
Dependent Claim
69 words
A dynamic range compressing apparatus as defined in Claim 200 wherein the original image has been obtained from a tomographic image recording operation and contains a flow pattern, and said unsharp mask image signal forming means forms the plurality of said unsharp mask image signals by conducting unsharp mask processing on the original image signal by using a one-dimensional unsharp mask extending along the direction of said flow pattern.
Claim 226
Dependent Claim
69 words
A dynamic range compressing apparatus as defined in Claim 202 wherein the original image has been obtained from a tomographic image recording operation and contains a flow pattern, and said unsharp mask image signal forming means forms the plurality of said unsharp mask image signals by conducting unsharp mask processing on the original image signal by using a one-dimensional unsharp mask extending along the direction of said flow pattern.
References Cited (Backward Citations)
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