Too low or too high illuminance directly impacts on the image quality.Concerning this issue

an improved adaptive optimization method of color image quality was put forward.This methord applied to image quality assessment based on four important parameters of the human visual perception about the image quality

including information entropy

average gray level

average contrast and the hierarchy factor.Then

the best transform parameter automatic optimization model had been established built on Zadeh-X transform and the optimal effect of color image was realized in different light conditions finally.The experiment results show that the quality of the processed images is significantly improved and presents better visual effect.Meanwhile

the visible detail in bright and dark regionis is increased remarkably and the image quality optimization is realized.