US5331414A
Expired / Lapsed
US
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Method and apparatus for encoding a digital motion video signal using pyramid specific filtering
Assignee: Intel Corp
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Filing: 1991-12-23
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Granted: 1994-07-19
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Expires: 2011-12-23
Abstract
Abstract An image having at least one high frequency feature is encoded by (a) filtering the image to produce a filtered image representing the image minus the at least one high frequency feature; (b) resolving the filtered image into at least one lower level of resolution; (c) encoding a correction image at the at least one lower level of resolution; (d) producing an expanded result image having the same the level of resolution of the image; and (e) encoding at the level of resolution the image the difference between the image and the expanded result image.
Inventors
- 👤 Stuart J. Golin
Bibliographic Details
Application Number
—
Jurisdiction
US
Data Source
google_patents
Last Synchronized
2026-11-01 19:17
CPC Classifications
H; H04; H04N; H04N19/00; H04N19/80; H04N19/60; H04N19/63
Claims Analysis
Total Claims: 19
Claim 1
Independent Claim
149 words
A method for encoding an image having at least one high frequency feature comprising the steps of: (a) filtering said image with a non-linear filter targeted at said at least one high resolution feature to produce a filtered image, wherein said at least one high resolution feature is selected from a group comprising lines and points, and wherein said filtering is targeted at said at least one high resolution feature and not at edges; (b) low pass filtering and subsampling said filtered image into at least one lower level of resolution; (c) encoding a correction image at said at least one lower level of resolution; (d) producing an expanded result image from said correction image, said expanded result image having the same level of resolution as said image; and (e) encoding at the level of resolution of said image the difference between said image and said expanded result image.
Claim 2
Independent Claim
149 words
A method for encoding an image having at least one high frequency feature comprising the steps of: (a) filtering said image with a non-linear filter targeted at said at least one high resolution feature to produce a filtered image, wherein said at least one high resolution feature is selected from a group comprising lines and points, and wherein said filtering is targeted at said at least one high resolution feature and not at edges; (b) low pass filtering and subsampling said filtered image into at least one lower level of resolution; (c) encoding a correction image at said at least one lower level of resolution; (d) producing an expanded result image from said correction image, said expanded result image having the same level of resolution as said image; and (e) encoding at the level of resolution of said image the difference between said image and said expanded result image.
Claim 3
Dependent Claim
58 words
The method in accordance with claim 1 wherein step c comprises the steps of: (i) dividing said at least one lower level of resolution which is encoded into null and non-null regions; (ii) encoding said regions using binary tree decomposition; (iii) determining vector values describing the pixel values in said non-null regions; and (iv) quantizing said vector values.
Claim 4
Dependent Claim
16 words
The method in accordance with claim 2 wherein said vector values include DYADS, QUADS, and DPCM.
Claim 5
Dependent Claim
20 words
The method of claim 1, wherein said at least one high frequency feature is less than two pixels in thickness.
Claim 6
Dependent Claim
31 words
The method of claim 1, wherein said image is a two dimensional array of pixels and said filtering step comprises one dimensional processing of each row and column in said image.
Claim 7
Dependent Claim
19 words
The method of claim 1, wherein said image is a full resolution frame selected from a sequence of frames.
Claim 8
Dependent Claim
23 words
The method of claim 1, wherein said image has been obtained by decimating a full resolution image selected from a sequence of frames.
Claim 9
Dependent Claim
33 words
The method of claim 1, wherein step (c) comprises encoding said correction image at said at least one lower level of resolution using DPCM, vector quantization, DCT, wavelets, pyramidal coding or subband coding.
Claim 10
Dependent Claim
29 words
The method of claim 1, wherein said image is an interframe error image representing the difference between a predicted image obtained through motion compensation analysis and a target image.
Claim 11
Dependent Claim
24 words
The method of claim 1, wherein said image is an interframe error image representing the difference between a preceding image and a target image.
Claim 12
Independent Claim
112 words
A method for filtering an image having at least one high frequency feature comprising the steps of: (a) filtering said image with a non-linear filter targeted at said at least one high resolution feature to produce a filtered image, wherein said at least one high resolution feature is selected from a group comprising lines and points, and wherein said filtering is targeted at said at least one high resolution feature and not at edges; (b) resolving said filtered image into at least one lower level of resolution; and (c) analyzing the difference of said image and the expansion of the result of step (b) to the level of resolution of said image.
Claim 13
Independent Claim
112 words
A method for filtering an image having at least one high frequency feature comprising the steps of: (a) filtering said image with a non-linear filter targeted at said at least one high resolution feature to produce a filtered image, wherein said at least one high resolution feature is selected from a group comprising lines and points, and wherein said filtering is targeted at said at least one high resolution feature and not at edges; (b) resolving said filtered image into at least one lower level of resolution; and (c) analyzing the difference of said image and the expansion of the result of step (b) to the level of resolution of said image.
Claim 14
Independent Claim
102 words
A method for filtering an image having at least one high frequency feature comprising the steps of: (a) filtering said image with a non-linear filter targeted at said at least one high resolution feature to produce a filtered image, wherein said at least one high resolution feature is selected from a group comprising lines and points, and wherein said filtering is targeted at said at least one high resolution feature and not at edges; (b) resolving said filtered image into at least one lower level of resolution; and (c) analyzing said filtered image at said at least one lower level of resolution.
Claim 15
Independent Claim
102 words
A method for filtering an image having at least one high frequency feature comprising the steps of: (a) filtering said image with a non-linear filter targeted at said at least one high resolution feature to produce a filtered image, wherein said at least one high resolution feature is selected from a group comprising lines and points, and wherein said filtering is targeted at said at least one high resolution feature and not at edges; (b) resolving said filtered image into at least one lower level of resolution; and (c) analyzing said filtered image at said at least one lower level of resolution.
Claim 16
Independent Claim
105 words
A method for filtering an image having at least one high frequency feature comprising the steps of: (a) filtering said image with a non-linear filter targeted at said at least one high resolution feature to produce a filtered image, wherein said at least one high resolution feature is selected from a group comprising lines and points, and wherein said filtering is targeted at said at least one high resolution feature and not at edges; (b) producing an intermediate image by subjecting said filtered image to low pass filtering; and (c) analyzing the difference between the result of step (a) and the result of step (b).
Claim 17
Independent Claim
105 words
A method for filtering an image having at least one high frequency feature comprising the steps of: (a) filtering said image with a non-linear filter targeted at said at least one high resolution feature to produce a filtered image, wherein said at least one high resolution feature is selected from a group comprising lines and points, and wherein said filtering is targeted at said at least one high resolution feature and not at edges; (b) producing an intermediate image by subjecting said filtered image to low pass filtering; and (c) analyzing the difference between the result of step (a) and the result of step (b).
Claim 18
Independent Claim
156 words
An apparatus for encoding an image having at least one high frequency feature comprising: (a) means for filtering said image with a non-linear filter targeted at said at least one high resolution feature to produce a filtered image, wherein said at least one high resolution feature is selected from a group comprising lines and points, and wherein said filtering is targeted at said at least one high resolution feature and not at edges; (b) means for low pass filtering and subsampling said filtered image into at least one lower level of resolution; (c) means for encoding a correction image at said at least one lower level of resolution; (d) means for producing an expanded result image from said correction image, said expanded result image having the same level of resolution as said image; and (e) means for encoding at the level of resolution of said image the difference between said image and said expanded result image.
Claim 19
Independent Claim
156 words
An apparatus for encoding an image having at least one high frequency feature comprising: (a) means for filtering said image with a non-linear filter targeted at said at least one high resolution feature to produce a filtered image, wherein said at least one high resolution feature is selected from a group comprising lines and points, and wherein said filtering is targeted at said at least one high resolution feature and not at edges; (b) means for low pass filtering and subsampling said filtered image into at least one lower level of resolution; (c) means for encoding a correction image at said at least one lower level of resolution; (d) means for producing an expanded result image from said correction image, said expanded result image having the same level of resolution as said image; and (e) means for encoding at the level of resolution of said image the difference between said image and said expanded result image.
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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) | 1997-07-18 | 1998-01-17 | 1998-07-19 | $2000.00 | Window Closed / Lapsed |
| 7.5 Years (Year 8) | 2001-07-18 | 2002-01-17 | 2002-07-19 | $3760.00 | Window Closed / Lapsed |
| 11.5 Years (Year 12) | 2005-07-18 | 2006-01-17 | 2006-07-19 | $7700.00 | Window Closed / Lapsed |