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Color Constancy Algorithm using the Maximum Luminance Surface  

안강식 (한국해양대학교 제어계측공학과)
조석제 (한국해양대학교 기계·정보공학부)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.27, no.3A, 2002 , pp. 276-283 More about this Journal
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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