Claims Analysis
Total Claims: 16
Claim 1
Independent Claim
128 words
An image processing method comprising the steps of: i) carrying out a filtering process on an original image, which is constituted of a lattice-like array of picture elements, that are located at predetermined intervals along the rows and columns of the lattice-like array, by using a mask having a predetermined size and with respect to each of the picture elements of the original image, the mean value of the values of picture elements falling within the mask being calculated with the filtering process, a smoothed image represented by the thus calculated mean values being thereby obtained, and ii) carrying out processing for emphasizing high frequency components of the original image in accordance with the smoothed image, wherein the filtering process is carried out repeatedly on the smoothed image.
Claim 2
Dependent Claim
128 words
An image processing method comprising the steps of: i) carrying out a filtering process on an original image, which is constituted of a lattice-like array of picture elements, that are located at predetermined intervals along the rows and columns of the lattice-like array, by using a mask having a predetermined size and with respect to each of the picture elements of the original image, the mean value of the values of picture elements falling within the mask being calculated with the filtering process, a smoothed image represented by the thus calculated mean values being thereby obtained, and ii) carrying out processing for emphasizing high frequency components of the original image in accordance with the smoothed image, wherein the filtering process is carried out repeatedly on the smoothed image.
Claim 3
Dependent Claim
77 words
A method as defined in claim 1 wherein the processing for emphasizing the high frequency components of the original image is carried out with Formula Sproc=Sorg+β(Sorg-Sus') wherein Sproc represents the processed image signal in which the high frequency components have been emphasized, Sorg represents the original image signal representing the original image, Sus' represents the unsharp image signal which represents the smoothed image having been obtained by repeating the filtering process, and β represents the emphasis coefficient.
Claim 4
Dependent Claim
83 words
A method as defined in claim 1 wherein the processing for emphasizing the high frequency components of the original image is carried out with Formula Sproc=Sus+β·α(Sorg-Sus') wherein Sproc represents the processed image signal in which the high frequency components have been emphasized, Sorg represents the original image signal representing the original image, Sus' represents the unsharp image signal which represents the smoothed image having been obtained by repeating the filtering process, α represents the signal converting function, and β represents the emphasis coefficient.
Claim 5
Dependent Claim
98 words
A method as defined in claim 1 wherein the processing for emphasizing the high frequency components of the original image is carried out with Formula ##EQU4## wherein Sproc represents the processed image signal in which the high frequency components have been emphasized, Sorg represents the original image signal representing the original image, Sus1', Sus2', and Sus3' represent the unsharp image signals which represent the smoothed images having been obtained by carrying out the filtering process with masks having different sizes, α1, α2, and α3 represent the signal converting functions, and β1, β2, and β3 represent the emphasis coefficients.
Claim 6
Dependent Claim
98 words
A method as defined in claim 1 wherein the processing for emphasizing the high frequency components of the original image is carried out with Formula ##EQU5## wherein Sproc represents the processed image signal in which the high frequency components have been emphasized, Sorg represents the original image signal representing the original image, Sus1', Sus2', and Sus3' represent the unsharp image signals which represent the smoothed images having been obtained by carrying out the filtering process with masks having different sizes, α1, α2, and α3 represent the signal converting functions, and β1, β2, and β3 represent the emphasis coefficients.
Claim 7
Dependent Claim
92 words
A method as defined in claim 1 wherein the processing for emphasizing the high frequency components of the original image is carried out with Formula ##EQU6## wherein Sproc represents the processed image signal in which the high frequency components have been emphasized, Sorg represents the original image signal representing the original image, Sus1', Sus2', and Sus3' represent the unsharp image signals which represent the smoothed images having been obtained by repeating the filtering process, α1, α2, and α3 represent the signal converting functions, and β1, β2, and β3 represent the emphasis coefficients.
Claim 8
Dependent Claim
92 words
A method as defined in claim 1 wherein the processing for emphasizing the high frequency components of the original image is carried out with Formula ##EQU7## wherein Sproc represents the processed image signal in which the high frequency components have been emphasized, Sorg represents the original image signal representing the original image, Sus1', Sus2', and Sus3' represent the unsharp image signals which represent the smoothed images having been obtained by repeating the filtering process, α1, α2, and α3 represent the signal converting functions, and β1, β2, and β3 represent the emphasis coefficients.
Claim 9
Dependent Claim
139 words
An image processing apparatus comprising: i) a filtering process means for carrying out a filtering process on an original image, which is constituted of a lattice-like array of picture elements, that are located at predetermined intervals along the rows and columns of the lattice-like array, by using a mask having a predetermined size and with respect to each of the picture elements of the original image, the mean value of the values of picture elements falling within the mask being calculated with the filtering process, a smoothed image represented by the thus calculated mean values being thereby obtained, and ii) an unsharp mask processing means for carrying out processing for emphasizing high frequency components of the original image in accordance with the smoothed image, wherein the filtering process means repeatedly carries out the filtering process on the smoothed image.
Claim 10
Dependent Claim
139 words
An image processing apparatus comprising: i) a filtering process means for carrying out a filtering process on an original image, which is constituted of a lattice-like array of picture elements, that are located at predetermined intervals along the rows and columns of the lattice-like array, by using a mask having a predetermined size and with respect to each of the picture elements of the original image, the mean value of the values of picture elements falling within the mask being calculated with the filtering process, a smoothed image represented by the thus calculated mean values being thereby obtained, and ii) an unsharp mask processing means for carrying out processing for emphasizing high frequency components of the original image in accordance with the smoothed image, wherein the filtering process means repeatedly carries out the filtering process on the smoothed image.
Claim 11
Dependent Claim
77 words
An apparatus as defined in claim 8 wherein the processing for emphasizing the high frequency components of the original image is carried out with Formula Sproc=Sorg+β(Sorg-Sus') wherein Sproc represents the processed image signal in which the high frequency components have been emphasized, Sorg represents the original image signal representing the original image, Sus' represents the unsharp image signal which represents the smoothed image having been obtained by repeating the filtering process, and β represents the emphasis coefficient.
Claim 12
Dependent Claim
83 words
An apparatus as defined in claim 8 wherein the processing for emphasizing the high frequency components of the original image is carried out with Formula Sproc=Sus'+β·α(Sorg-Sus') wherein Sproc represents the processed image signal in which the high frequency components have been emphasized, Sorg represents the original image signal representing the original image, Sus' represents the unsharp image signal which represents the smoothed image having been obtained by repeating the filtering process, a represents the signal converting function, and β represents the emphasis coefficient.
Claim 13
Dependent Claim
98 words
An apparatus as defined in claim 8 wherein the processing for emphasizing the high frequency components of the original image is carried out with Formula ##EQU8## wherein Sproc represents the processed image signal in which the high frequency components have been emphasized, Sorg represents the original image signal representing the original image, Sus1', Sus2', and Sus3' represent the unsharp image signals which represent the smoothed images having been obtained by carrying out the filtering process with masks having different sizes, α1, α2, and α3 represent the signal converting functions, and β1, β2, and β3 represent the emphasis coefficients.
Claim 14
Dependent Claim
98 words
An apparatus as defined in claim 8 wherein the processing for emphasizing the high frequency components of the original image is carried out with Formula ##EQU9## wherein Sproc represents the processed image signal in which the high frequency components have been emphasized, Sorg represents the original image signal representing the original image, Sus1', Sus2', and Sus3' represent the unsharp image signals which represent the smoothed images having been obtained by carrying out the filtering process with masks having different sizes, α1, α2, and α3 represent the signal converting functions, and β1, β2, and β3 represent the emphasis coefficients.
Claim 15
Dependent Claim
92 words
An apparatus as defined in claim 8 wherein the processing for emphasizing the high frequency components of the original image is carried out with Formula ##EQU10## wherein Sproc represents the processed image signal in which the high frequency components have been emphasized, Sorg represents the original image signal representing the original image, Sus1', Sus2', and Sus3' represent the unsharp image signals which represent the smoothed images having been obtained by repeating the filtering process, α1, α2, and α3 represent the signal converting functions, and β1, β2, and β3 represent the emphasis coefficients.
Claim 16
Dependent Claim
92 words
An apparatus as defined in claim 8 wherein the processing for emphasizing the high frequency components of the original image is carried out with Formula ##EQU11## wherein Sproc represents the processed image signal in which the high frequency components have been emphasized, Sorg represents the original image signal representing the original image, Sus1', Sus2', and Sus3' represent the unsharp image signals which represent the smoothed images having been obtained by repeating the filtering process, α1, α2, and α3 represent the signal converting functions, and β1, β2, and β3 represent the emphasis coefficients.