Abstract:It is relatively difficult to identify the dynamic color images under low-light level. Therefore, in this paper, put forward is a kind of contrast resolution compensation algorithm based on human visual perception model. Firstly, a color image is transformed from RGB space into HSV space, the H elements remain unchanged. Secondly, it is to extract image feature parameters of the V element, then using contrast resolution compensate V elements so as to enhance the image brightness. Thirdly, the S element is linearly stretched to recover the color information of the images. Finally, the treated V elements, treated S elements and untreated H elements are used to construct a new enhanced image with RGB space by inverse transform. Experimental results show that the compensation method can enhance images and improve image quality.