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 most of traditional color regulation methods are based on the gray world assumption which neglects the correlation between the three stimulus values and the nonlinear effect between the different gray-levels. Here, we propose a novel color constancy algorithm based on gray-curve regulation which divides luminance interval into several parts and regulates the gray curves of RGB three channels in each subinterval so that it can solve the correlation and nonlinear problems. Experimental results show that our algorithm has a good processing effect to digital images most of the time.