Patent US5499752A successfully refreshed from Google Patents.
Patent US8306357B2 successfully refreshed from Google Patents.
US8306357B2
Active / In Force
US
⏱️ 4.7 years remaining
Image processing apparatus, image processing method, and computer program
Assignee: Canon Inc
•
Filing: 2011-08-04
•
Granted: 2012-11-06
•
Expires: 2031-08-04
Abstract
Abstract An image processing apparatus, an image processing method, and a computer program, visually remove low-frequency noise contained in image data. Image data containing low-frequency noise is input from an input terminal. A window unit designates a window made up of a pixel of interest, and its surrounding pixels. A pixel selector selects a selected pixel to be compared with the pixel of interest from the window, and a pixel value determination unit determines a new pixel value of the pixel of interest on the basis of the pixel values of the selected pixel and pixel of interest. New image data is generated by substituting the pixel value of the pixel of interest by the new pixel value.
Inventors
- 👤 Nobutaka Miyake
- 👤 Minoru Kusakabe
Bibliographic Details
Application Number
—
Jurisdiction
US
Data Source
google_patents
Last Synchronized
2026-11-09 09:59
CPC Classifications
G; G06; G06T; G06T5/00; G06T5/70; G06T5/20; H; H04; H04N; H04N1/00; H04N1/40; H04N1/409
Claims Analysis
Total Claims: 17
Claim 1
Independent Claim
77 words
An image processing apparatus for visually reducing noise components contained in a low-frequency range of image data, comprising: correlation reduction means for reducing correlations between a predetermined pixel and surrounding pixels of the predetermined pixel in the image data; signal strength control means for controlling decreased signal strengths of low-frequency components of the image data upon reducing the correlations; and white noise conversion means for converting the low-frequency components of decreased signal strength into white noise components.
Claim 2
Dependent Claim
77 words
An image processing apparatus for visually reducing noise components contained in a low-frequency range of image data, comprising: correlation reduction means for reducing correlations between a predetermined pixel and surrounding pixels of the predetermined pixel in the image data; signal strength control means for controlling decreased signal strengths of low-frequency components of the image data upon reducing the correlations; and white noise conversion means for converting the low-frequency components of decreased signal strength into white noise components.
Claim 3
Dependent Claim
92 words
An image processing apparatus for visually reducing noise components contained in a low-frequency range of image data, comprising: correlation reduction means for reducing correlations between a predetermined pixel and surrounding pixels of the predetermined pixel in the image data; signal strength control means for controlling decreased signal strengths of low-frequency components of the image data upon reducing the correlations; broad-band noise conversion means for converting the low-frequency components of decreased signal strength into broad-band noise components; and band width control means for controlling a band width of said broad-band noise conversion means.
Claim 4
Dependent Claim
92 words
An image processing apparatus for visually reducing noise components contained in a low-frequency range of image data, comprising: correlation reduction means for reducing correlations between a predetermined pixel and surrounding pixels of the predetermined pixel in the image data; signal strength control means for controlling decreased signal strengths of low-frequency components of the image data upon reducing the correlations; broad-band noise conversion means for converting the low-frequency components of decreased signal strength into broad-band noise components; and band width control means for controlling a band width of said broad-band noise conversion means.
Claim 5
Dependent Claim
80 words
An image processing method for visually reducing noise components contained in a low-frequency range of image data, comprising: a correlation reduction step of reducing correlations between a predetermined pixel and surrounding pixels of the predetermined pixel in the image data; a signal strength control step of controlling decreased signal strengths of low-frequency components of the image data upon reducing the correlations; and a white noise conversion step of converting the low-frequency components of decreased signal strength into white noise components.
Claim 6
Dependent Claim
80 words
An image processing method for visually reducing noise components contained in a low-frequency range of image data, comprising: a correlation reduction step of reducing correlations between a predetermined pixel and surrounding pixels of the predetermined pixel in the image data; a signal strength control step of controlling decreased signal strengths of low-frequency components of the image data upon reducing the correlations; and a white noise conversion step of converting the low-frequency components of decreased signal strength into white noise components.
Claim 7
Dependent Claim
96 words
An image processing method for visually reducing noise components contained in a low-frequency range of image data, comprising: a correlation reduction step of reducing correlations between a predetermined pixel and surrounding pixels of the predetermined pixel in the image data; a signal strength control step of controlling decreased signal strengths of low-frequency components of the image data upon reducing the correlations; a broad-band noise conversion step of converting the low-frequency components of decreased signal strength into broad-band noise components; and a band width control step of controlling a band width of the broad-band noise conversion step.
Claim 8
Dependent Claim
96 words
An image processing method for visually reducing noise components contained in a low-frequency range of image data, comprising: a correlation reduction step of reducing correlations between a predetermined pixel and surrounding pixels of the predetermined pixel in the image data; a signal strength control step of controlling decreased signal strengths of low-frequency components of the image data upon reducing the correlations; a broad-band noise conversion step of converting the low-frequency components of decreased signal strength into broad-band noise components; and a band width control step of controlling a band width of the broad-band noise conversion step.
Claim 9
Dependent Claim
85 words
A non-transitory computer program for visually reducing noise components contained in a low-frequency range of image data, said program making a computer execute: a correlation reduction step of reducing correlations between a predetermined pixel and surrounding pixels of the predetermined pixel in the image data; a signal strength control step of controlling decreased signal strengths of low-frequency components of the image data upon reducing the correlations; and a white noise conversion step of converting the low-frequency components of decreased signal strength into white noise components.
Claim 10
Dependent Claim
85 words
A non-transitory computer program for visually reducing noise components contained in a low-frequency range of image data, said program making a computer execute: a correlation reduction step of reducing correlations between a predetermined pixel and surrounding pixels of the predetermined pixel in the image data; a signal strength control step of controlling decreased signal strengths of low-frequency components of the image data upon reducing the correlations; and a white noise conversion step of converting the low-frequency components of decreased signal strength into white noise components.
Claim 11
Dependent Claim
101 words
A non-transitory computer program for visually reducing noise components contained in a low-frequency range of image data, said program making a computer execute: a correlation reduction step of reducing correlations between a predetermined pixel and surrounding pixels of the predetermined pixel in the image data; a signal strength control step of controlling decreased signal strengths of low-frequency components of the image data upon reducing the correlations; a broad-band noise conversion step of converting the low-frequency components of decreased signal strength into broad-band noise components; and a band width control step of controlling a band width of the broad-band noise conversion step.
Claim 12
Dependent Claim
101 words
A non-transitory computer program for visually reducing noise components contained in a low-frequency range of image data, said program making a computer execute: a correlation reduction step of reducing correlations between a predetermined pixel and surrounding pixels of the predetermined pixel in the image data; a signal strength control step of controlling decreased signal strengths of low-frequency components of the image data upon reducing the correlations; a broad-band noise conversion step of converting the low-frequency components of decreased signal strength into broad-band noise components; and a band width control step of controlling a band width of the broad-band noise conversion step.
Claim 13
Dependent Claim
13 words
A recording medium characterized by storing a computer program of claim 6 .
Claim 14
Dependent Claim
83 words
An image processing apparatus for visually reducing noise components contained in a low-frequency range of image data, comprising: a correlation reduction device configured to reduce correlations between a predetermined pixel and surrounding pixels of the predetermined pixel in the image data; a signal strength control device configured to control decreased signal strengths of low-frequency components of the image data upon reducing the correlations; and a white noise conversion device configured to convert the low-frequency components of decreased signal strength into white noise components.
Claim 15
Dependent Claim
83 words
An image processing apparatus for visually reducing noise components contained in a low-frequency range of image data, comprising: a correlation reduction device configured to reduce correlations between a predetermined pixel and surrounding pixels of the predetermined pixel in the image data; a signal strength control device configured to control decreased signal strengths of low-frequency components of the image data upon reducing the correlations; and a white noise conversion device configured to convert the low-frequency components of decreased signal strength into white noise components.
Claim 16
Dependent Claim
100 words
An image processing apparatus for visually reducing noise components contained in a low-frequency range of image data, comprising: a correlation reduction device configured to reduce correlations between a predetermined pixel and surrounding pixels of the predetermined pixel in the image data; a signal strength control device configured to control decreased signal strengths of low-frequency components of the image data upon reducing the correlations; a broad-band noise conversion device configured to convert the low-frequency components of decreased signal strength into broad-band noise components; and a band width control device configured to control a band width of said broad-band noise conversion means.
Claim 17
Dependent Claim
100 words
An image processing apparatus for visually reducing noise components contained in a low-frequency range of image data, comprising: a correlation reduction device configured to reduce correlations between a predetermined pixel and surrounding pixels of the predetermined pixel in the image data; a signal strength control device configured to control decreased signal strengths of low-frequency components of the image data upon reducing the correlations; a broad-band noise conversion device configured to convert the low-frequency components of decreased signal strength into broad-band noise components; and a band width control device configured to control a band width of said broad-band noise conversion means.
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USPTO Annuity & Maintenance Windows
| Annuity Stage | Window Opens | Payment Deadline | Surcharge Period Until | Estimated Fee | Status |
|---|---|---|---|---|---|
| 3.5 Years (Year 4) | 2015-11-06 | 2016-05-07 | 2016-11-06 | $2000.00 | Window Closed / Lapsed |
| 7.5 Years (Year 8) | 2019-11-06 | 2020-05-07 | 2020-11-06 | $3760.00 | Window Closed / Lapsed |
| 11.5 Years (Year 12) | 2023-11-06 | 2024-05-07 | 2024-11-06 | $7700.00 | Window Closed / Lapsed |