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Estimation of color for gray-level image by probabilistic relaxation | IEEE Conference Publication | IEEE Xplore
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Estimation of color for gray-level image by probabilistic relaxation


Abstract:

A color estimation method for a gray-level image is proposed by giving a few color pixels. It is known that a density value in the gray-level image will be calculated by ...Show More

Abstract:

A color estimation method for a gray-level image is proposed by giving a few color pixels. It is known that a density value in the gray-level image will be calculated by linear combination of an RGB vector of the color image. The problem dealt with in this study can be formulated as an ill-posed problem which searches for an RGB vector from a density value as a solution. By assuming a restricted condition to minimize the total of the color difference defined among adjacent pixels, the color will be optimized by the probabilistic relaxation method. The performance of the proposed method is verified by experiments. The proposed algorithm works very well when the solution is known with confidence in a few percents of the image.
Date of Conference: 11-15 August 2002
Date Added to IEEE Xplore: 10 December 2002
Print ISBN:0-7695-1695-X
Print ISSN: 1051-4651
Conference Location: Quebec City, QC, Canada

References

References is not available for this document.