Iterative self-adapting color image enhancement base on chroma and hue constrain

This paper presents an iteration self-adapting color image enhancement algorithm to extract visual attention focus in accuracy. Initially, the color space should be translated from RGB to YCbCr where the iteration image enhancement model is deduced in constrain of chroma and hue. The subsequence image evaluation function implements closed-up control to adjust the iteration step and enhancement performance. Experiments show the presented algorithm improves the visual focus extraction performance in low illumination and does not spend much more computing time, as well as decreases the extraction errors of visual focus.