Algorithm for computational measure of color constancy

Authors:
S. J. Jerome Teng
Affiliations:
Department of Computer Science and Information Engineering, Kainan University, Taoyuan, Taiwan, ROC
Venue:
ICCCI'10 Proceedings of the Second international conference on Computational collective intelligence: technologies and applications - Volume Part III
Year:
2010

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Abstract

Color constancy (CC) is the ability to perceive or retrieve constant image colors despite changes in illumination. CC has long been a research subject in color and machine vision. This paper presents a computational algorithm that offers an optimized solution for CC. The proposed CC algorithm exploits the strategy of RGB channel gain variation and the suppressing mechanism of grayscale pixel maximization (GPM). For most natural scenes under a single illuminant, the CC offset gain location can be revealed with a distinct GPM peak. The optimization scheme provides 2D and 3D graphical illustrations for user-friendly visualization and analysis. Operating mechanism and experimental results of this algorithm are clearly illustrated.