US6600833B1
Expired / Lapsed
US
⏱️ 0.0 years remaining
Methodology for color correction with noise regulation
Assignee: Intel Corp
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Filing: 1999-07-23
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Granted: 2003-07-29
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Expires: 2019-07-23
Abstract
Abstract A method comprising determining an optimal color correction matrix accounting for both total noise variance and color reproduction error for a captured image; and correcting the colors of said captured image using said optimal color correction matrix.
Inventors
- 👤 Yap-Peng Tan
- 👤 Tinku Acharya
Bibliographic Details
Application Number
—
Jurisdiction
US
Data Source
google_patents
Last Synchronized
2026-11-09 12:45
CPC Classifications
H; H04; H04N; H04N1/00; H04N1/46; H04N1/56; H04N1/60; H04N1/603; H04N1/6033; H04N1/6016
Claims Analysis
Total Claims: 21
Claim 1
Independent Claim
50 words
A method comprising: determining an optimal color correction matrix accounting for both total noise variance and color reproduction error for a captured image; wherein the total noise variance comprises summation of diagonal elements of a matrix and correcting the colors of said captured image using said optimal color correction matrix.
Claim 2
Independent Claim
50 words
A method comprising: determining an optimal color correction matrix accounting for both total noise variance and color reproduction error for a captured image; wherein the total noise variance comprises summation of diagonal elements of a matrix and correcting the colors of said captured image using said optimal color correction matrix.
Claim 3
Dependent Claim
28 words
A method according to claim 1 wherein said determining includes: determining a preferred weighting factor that properly weights the level of color reproduction error and total noise variance.
Claim 4
Dependent Claim
32 words
A method according to claim 2 wherein determining a preferred weighting factor includes: fetching a sample image; computing a sample image pre-correction noise level; and computing a sample image pre-correction brightness level.
Claim 5
Dependent Claim
24 words
A method according to claim 3 wherein said preferred weighting factor is determined based upon said pre-correction noise level and said pre-correction brightness level.
Claim 6
Dependent Claim
16 words
A method according to claim 1 wherein said captured image results from an optical sensing system.
Claim 7
Independent Claim
116 words
A method comprising: determining an optimal color correction matrix accounting for both total noise variance and color reproduction error for a captured image; wherein said determining an optimal color correction matrix includes determining a preferred weighting factor that properly weights the level of color reproduction error and total noise variance; wherein said determining a preferred weighting factor includes: generating a test color correction matrix using said preferred weighting factor; applying said test color correction matrix to said sample image; and evaluating the color error and a post-correction noise level after said application of said test color correction matrix to said sample image; and correcting the colors of said captured image using said optimal color correction matrix.
Claim 8
Independent Claim
116 words
A method comprising: determining an optimal color correction matrix accounting for both total noise variance and color reproduction error for a captured image; wherein said determining an optimal color correction matrix includes determining a preferred weighting factor that properly weights the level of color reproduction error and total noise variance; wherein said determining a preferred weighting factor includes: generating a test color correction matrix using said preferred weighting factor; applying said test color correction matrix to said sample image; and evaluating the color error and a post-correction noise level after said application of said test color correction matrix to said sample image; and correcting the colors of said captured image using said optimal color correction matrix.
Claim 9
Dependent Claim
34 words
A method according to claim 6 wherein if said color error and said post-correction noise level meet an application target, then setting the optimal color correction matrix to be said test color correction matrix.
Claim 10
Dependent Claim
46 words
A method according to claim 7 wherein if said color error and said post-correction noise level do not meet an application target, then determining a new preferred weighting factor and repeating the steps of generating of a test color correction matrix, of applying and of evaluating.
Claim 11
Dependent Claim
13 words
A method according to claim 7 further comprising: outputting said optimal color correction.
Claim 12
Dependent Claim
34 words
A method according to claim 6 wherein generating of a test color correction matrix includes minimizing of a cost function which inter-relates said noise variance with said color reproduction error via said weighting factor.
Claim 13
Dependent Claim
62 words
An article comprising a computer readable medium having instructions stored thereon which when executed causes: determining an optimal color correction matrix accounting for both total noise variance and color reproduction error for a captured image; wherein the total noise variance comprises summation of diagonal elements of a matrix and correcting the colors of said captured image using said optimal color correction matrix.
Claim 14
Dependent Claim
62 words
An article comprising a computer readable medium having instructions stored thereon which when executed causes: determining an optimal color correction matrix accounting for both total noise variance and color reproduction error for a captured image; wherein the total noise variance comprises summation of diagonal elements of a matrix and correcting the colors of said captured image using said optimal color correction matrix.
Claim 15
Dependent Claim
18 words
An article according to claim 11 wherein determining includes considering a color reproduction constraint upon said color correction.
Claim 16
Dependent Claim
85 words
The article of claim 11 , wherein said determining an optima color correction matrix includes determining a preferred weighting factor that properly weights the level of color reproduction error and total noise variance; wherein said determining a preferred weighting factor includes: generating a test color correction matrix using said preferred weighting factor; applying said test color correction matrix to said sample image; and evaluating the color error and a post-correction noise level after said application of said test color correction matrix to said sample image.
Claim 17
Independent Claim
79 words
A system comprising: a memory configured to store instructions and data; and a processor coupled to said memory said processor adapted to execute said instructions in conjunction with said data to cause: determining an optimal color correction matrix accounting for both total noise variance and color reproduction error for a captured image; wherein the total noise variance comprises summation of diagonal elements of a matrix and correcting the colors of said captured image using said optimal color correction matrix.
Claim 18
Independent Claim
79 words
A system comprising: a memory configured to store instructions and data; and a processor coupled to said memory said processor adapted to execute said instructions in conjunction with said data to cause: determining an optimal color correction matrix accounting for both total noise variance and color reproduction error for a captured image; wherein the total noise variance comprises summation of diagonal elements of a matrix and correcting the colors of said captured image using said optimal color correction matrix.
Claim 19
Dependent Claim
25 words
A system according to claim 14 comprising an imaging apparatus, said imaging apparatus providing said captured image, said captured image corrected on said imaging apparatus.
Claim 20
Dependent Claim
18 words
A system according to claim 15 wherein said optimal color correction matrix is loaded into said imaging apparatus.
Claim 21
Dependent Claim
85 words
The system of claim 14 , wherein said determining an optimal color correction matrix includes determining a preferred weighting factor that properly weights the level of color reproduction error and total noise variance; and wherein said determining a preferred weighting factor includes: generating a test color correction matrix using said preferred weighting factor; applying said test color correction matrix to said sample image; and evaluating the color error and a post-correction noise level after said application of said-test color correction matrix to said sample image.
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