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Color cast detection based on color by correlation and color constancy algorithm using kernel density estimation  

Jung, Jun-Woo (삼성전자)
Kim, Gyeong-Hwan (서강대학교 전자공학과)
Publication Information
Journal of Korea Multimedia Society / v.13, no.4, 2010 , pp. 535-546 More about this Journal
Abstract
Digital images have undesired color casts due to various illumination conditions and intrinsic characteristics of cameras. Since the color casts in the images deteriorate performance of color representations, color correction is required for further analysis of images. In this paper, an algorithm for detection and removal of color casts is presented. The proposed algorithm consists of four steps: retrieving similar image using color by correlation, extraction of near neutral color regions, kernel density estimation, and removal of color casts. Ambiguities in near neutral color regions are excluded based on kernel density estimation by the color by correlation algorithm. The method determines whether there are color casts by chromaticity distributions in near neutral color regions, and removes color casts for color constancy. Experimental results suggest that the proposed method outperforms the gray world algorithm and the color by correlation algorithm.
Keywords
Color cast; Color constancy; Kernel density estimation; Color by correlation;
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