A novel color constancy algorithm based on gray-curve regulation

Color constancy performs an important role in computer vision and digital color image processing. The traditional color regulation algorithms which are based on the gray world assumption neglect the correlation between the three stimulus color components and the nonlinear effect between the different gray levels. In this paper, we propose a novel color constancy algorithm which is based on gray-curve regulation. The proposed algorithm first divides the luminance interval into several parts and then regulates the gray-curves of RGB three channels in each subinterval which can solve the correlation and nonlinear problems simultaneously. The experiment results show the effectiveness of the proposed algorithm.