Adaptively optimal compensation for vision contrast resolution and machine vision

Human vision contrast resolution (HVCR) is lower and varies exponentially with background gray in scotopic condition. HVCR compensation implies that a small gray difference of two adjacent pixels in an image is made JND (just noticeable difference). To obtain the optimal compensation, the optimal compensation factor is determined by a subjective assessment result of the compensated image. To obtain the optimal quality of a compensated image, we proposed a prediction method of optimal compensation factor and obtained the compensated images with visually optimal effect for a set of the test images.