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Improving color constancy by saturation weighting

A variety of methods for color constancy have been proposed in order to come up with the ability of the human visual system which recognizes the inherent colors of objects under different illuminants. The methods based on the low-level statistics are widely used due to their low computational complexity and satisfactory results with adequate parameters. However, none of these methods utilize color channel correlation explicitly to improve the color constancy. In this paper, we propose a novel color constancy method using the color correlation. From a lot of observations, we find tendencies according to saturation values and finally incorporate a saturation weighting function into the existing methods. Experiments are performed on two widely used datasets and the results demonstrate that the proposed method improves the color constancy with a simple and effective manner.