Color Constancy Algorithm using the Maximum Luminance Surface 


Vol. 27,  No. 3, pp. 276-283, Mar.  2002


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  Abstract

This paper proposes a new color constancy algorithm using the maximum luminance surface. This method uses a linear model which represents the characteristics of human visual system. The most important process of linear model is the estimation of the spectral distributions of illumination from an input image. To estimate of the spectral distributions of illumination from an input image, we first estimate spectral distribution functions of reflected light on the brightest surface. Then, we estimate surface reflectance functions corresponding to the maximum luminance surface using a principal component analysis of the given munsell chips. We finally estimate the spectral distributions of illumination in an image.
Using an estimated illumination, we recover an image by scaling it regularly for the lightness calibration. From the experimental results, the proposed method was effective in recovering the color images compared with others.

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  Cite this article

[IEEE Style]

K. Ahn and S. Cho, "Color Constancy Algorithm using the Maximum Luminance Surface," The Journal of Korean Institute of Communications and Information Sciences, vol. 27, no. 3, pp. 276-283, 2002. DOI: .

[ACM Style]

Kang-Sik Ahn and Seok-Je Cho. 2002. Color Constancy Algorithm using the Maximum Luminance Surface. The Journal of Korean Institute of Communications and Information Sciences, 27, 3, (2002), 276-283. DOI: .

[KICS Style]

Kang-Sik Ahn and Seok-Je Cho, "Color Constancy Algorithm using the Maximum Luminance Surface," The Journal of Korean Institute of Communications and Information Sciences, vol. 27, no. 3, pp. 276-283, 3. 2002.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880