US5825846A
Expired / Lapsed
US
⏱️ 0.0 years remaining
Noise reduction in an image
Assignee: US Philips Corp
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Filing: 1996-12-20
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Granted: 1998-10-20
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Expires: 2016-12-20
Abstract
Abstract In a method of processing an image the image is divided in one or more blocks. Separate blocks are spatially frequency transformed in that pixel-values of the blocks are transformed into spectral coefficients. A noise level of the image is estimated and reduced spectral coefficients are derived from spectral coefficients and the estimated noise level. Pixel-values for a processed block are synthesized from the reduced spectral coefficients and the processed blocks are assembled into a processed image. The noise level is estimated from the image information within the image. Preferably, a few parameters relating to the circumstances under which the image was acquired are also taken into account for estimating the noise level.
Inventors
- 👤 Til Aach
- 👤 Dietmar W. Kunz
Bibliographic Details
Application Number
—
Jurisdiction
US
Data Source
google_patents
Last Synchronized
2026-11-08 09:30
CPC Classifications
G; G06; G06T; G06T5/00; G06T5/20
Claims Analysis
Total Claims: 24
Claim 1
Independent Claim
63 words
Method of processing an image comprising deriving spectral coefficients from the image, estimating a noise level of the image, deriving reduced spectral coefficients from said spectral coefficients and the estimated noise level, and synthesizing a processed image from said reduced spectral coefficients, characterized in that the noise level of the image is estimated mainly from the image, and not from any other image.
Claim 2
Dependent Claim
63 words
Method of processing an image comprising deriving spectral coefficients from the image, estimating a noise level of the image, deriving reduced spectral coefficients from said spectral coefficients and the estimated noise level, and synthesizing a processed image from said reduced spectral coefficients, characterized in that the noise level of the image is estimated mainly from the image, and not from any other image.
Claim 3
Dependent Claim
36 words
A method of processing an image as claimed in claim 1, characterized in that before deriving the spectral coefficients for a separate block, absolute values of pixel-values of a boundary region of said block are decreased.
Claim 4
Dependent Claim
39 words
A method of processing an image as claimed in claim 1, characterized in that for deriving the reduced spectral coefficients, a spatial distribution in the image of image information to which the spectral coefficients relate is taken into account.
Claim 5
Dependent Claim
43 words
A method of processing an image as claimed in claim 1, characterized in that estimating the noise level involves computation of the statistical variances of the spectral coefficients, and the reduced spectral coefficients are derived from said statistical variances and the spectral coefficients.
Claim 6
Dependent Claim
36 words
A method of processing an image as claimed in claim 4, characterized in that before deriving the spectral coefficients for a separate block, absolute values of pixel-values of a boundary region of said block are decreased.
Claim 7
Dependent Claim
46 words
A method of processing an image as claimed in claim 1, characterized in that separate reduced spectral coefficients are computed by multiplying spectral coefficients by an attenuation function, having a range in the interval 0,1 of the ratio of said spectral coefficient and its statistical variance.
Claim 8
Dependent Claim
21 words
A method of processing an image as claimed in claim 6, characterized in that the attenuation function is an increasing function.
Claim 9
Dependent Claim
75 words
Method of processing an image comprising dividing the image into several blocks, and for separate blocks, deriving spectral coefficients, estimating a noise level, deriving reduced spectral coefficients from spectral coefficients and said noise level of the relevant block, synthesizing processed blocks from said reduced spectral coefficients, and assembling processed blocks into a processed image, characterized in that said noise levels are estimated mainly from respective blocks of the image, and not from any other image.
Claim 10
Dependent Claim
75 words
Method of processing an image comprising dividing the image into several blocks, and for separate blocks, deriving spectral coefficients, estimating a noise level, deriving reduced spectral coefficients from spectral coefficients and said noise level of the relevant block, synthesizing processed blocks from said reduced spectral coefficients, and assembling processed blocks into a processed image, characterized in that said noise levels are estimated mainly from respective blocks of the image, and not from any other image.
Claim 11
Dependent Claim
46 words
A method of processing an image as claimed in claim 8, characterized in that separate reduced spectral coefficients are computed by multiplying spectral coefficients by an attenuation function, having a range in the interval 0,1 of the ratio of said spectral coefficient and its statistical variance.
Claim 12
Dependent Claim
36 words
A method of processing an image as claimed in claim 8, characterized in that before deriving the spectral coefficients for a separate block, absolute values of pixel-values of a boundary region of said block are decreased.
Claim 13
Dependent Claim
43 words
A method of processing an image as claimed in claim 8, characterized in that estimating the noise level involves computation of the statistical variances of the spectral coefficients, and the reduced spectral coefficients are derived from said statistical variances and the spectral coefficients.
Claim 14
Dependent Claim
46 words
A method of processing an image as claimed in claim 11, characterized in that separate reduced spectral coefficients are computed by multiplying spectral coefficients by an attenuation function, having a range in the interval 0,1 of the ratio of said spectral coefficient and its statistical variance.
Claim 15
Dependent Claim
26 words
A method of processing an image as claimed in claim 8, characterized in that respective noise levels are derived from average brightness values of separate blocks.
Claim 16
Dependent Claim
36 words
A method of processing an image as claimed in claim 13, characterized in that before deriving the spectral coefficients for a separate block, absolute values of pixel-values of a boundary region of said block are decreased.
Claim 17
Dependent Claim
46 words
A method of processing an image as claimed in claim 13, characterized in that separate reduced spectral coefficients are computed by multiplying spectral coefficients by an attenuation function, having a range in the interval 0,1 of the ratio of said spectral coefficient and its statistical variance.
Claim 18
Dependent Claim
43 words
A method of processing an image as claimed in claim 13, characterized in that estimating the noise level involves computation of the statistical variances of the spectral coefficients, and the reduced spectral coefficients are derived from said statistical variances and the spectral coefficients.
Claim 19
Dependent Claim
46 words
A method of processing an image as claimed in claim 16, characterized in that separate reduced spectral coefficients are computed by multiplying spectral coefficients by an attenuation function, having a range in the interval 0,1 of the ratio of said spectral coefficient and its statistical variance.
Claim 20
Dependent Claim
115 words
An image processing system comprising: a block generator for dividing the image into several blocks; a transformer unit for deriving sets of spectral coefficients from said blocks; a noise estimator for estimating respective noise levels of said blocks; a noise attenuator for deriving sets of reduced spectral coefficients for said blocks from said spectral coefficients and said noise levels; a synthesizing unit for synthesizing processed blocks from respective sets of reduced spectral coefficients; and an assembler unit for assembling processed blocks into a processed image; characterized in that the noise estimator is arranged to estimate said noise levels mainly from respective blocks, in particular from one or more local average brightness values of respective blocks.
Claim 21
Dependent Claim
115 words
An image processing system comprising: a block generator for dividing the image into several blocks; a transformer unit for deriving sets of spectral coefficients from said blocks; a noise estimator for estimating respective noise levels of said blocks; a noise attenuator for deriving sets of reduced spectral coefficients for said blocks from said spectral coefficients and said noise levels; a synthesizing unit for synthesizing processed blocks from respective sets of reduced spectral coefficients; and an assembler unit for assembling processed blocks into a processed image; characterized in that the noise estimator is arranged to estimate said noise levels mainly from respective blocks, in particular from one or more local average brightness values of respective blocks.
Claim 22
Dependent Claim
151 words
An x-ray examination apparatus comprising an x-ray detector for deriving an image signal from an x-ray image, and an image processing system for processing the image signal, the image processing system comprising: a block generator for dividing the image signal into block signals representing respective blocks; a transformer unit for deriving sets of spectral coefficients from respective block signals; a noise estimator for estimating respective noise levels of said block signals; a noise attenuator for deriving sets of reduced spectral coefficients for said blocks from spectral coefficients and said noise levels; a synthesizing unit for synthesizing processed block signals from sets of reduced spectral coefficients, and an assembler unit for assembling processed block signals into a processed image signal; characterized in that the noise estimator is arranged to estimate said noise levels mainly from respective block signals, in particular from one or more local average signal levels of respective block signals.
Claim 23
Dependent Claim
151 words
An x-ray examination apparatus comprising an x-ray detector for deriving an image signal from an x-ray image, and an image processing system for processing the image signal, the image processing system comprising: a block generator for dividing the image signal into block signals representing respective blocks; a transformer unit for deriving sets of spectral coefficients from respective block signals; a noise estimator for estimating respective noise levels of said block signals; a noise attenuator for deriving sets of reduced spectral coefficients for said blocks from spectral coefficients and said noise levels; a synthesizing unit for synthesizing processed block signals from sets of reduced spectral coefficients, and an assembler unit for assembling processed block signals into a processed image signal; characterized in that the noise estimator is arranged to estimate said noise levels mainly from respective block signals, in particular from one or more local average signal levels of respective block signals.
Claim 24
Dependent Claim
27 words
An x-ray examination apparatus as claimed in claim 19, characterized in that the noise estimator is arranged to take imaging parameters into account for estimating the noise.
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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) | 2001-10-19 | 2002-04-20 | 2002-10-20 | $2000.00 | Window Closed / Lapsed |
| 7.5 Years (Year 8) | 2005-10-19 | 2006-04-20 | 2006-10-20 | $3760.00 | Window Closed / Lapsed |
| 11.5 Years (Year 12) | 2009-10-19 | 2010-04-20 | 2010-10-20 | $7700.00 | Window Closed / Lapsed |