Local image contrast enhancement based on power model of visual image perception

The analysis of models of light perception by humans, which serve as the basis for building methods for improving the quality of images by enhancing their local contrasts, was carried out. It is shown that the expression for determining local contrast is the basis for building an algorithm for image quality improvement. Three types of local contrast are highlighted, in particular absolute, relative and weighted, and the technology of building a method of image quality enhancement using them is illustrated. A new method of image quality improvement, which is based on the power dependence of the response of the human visual system to light excitation, is described. The experimental study of its effectiveness, illustrated and confirmed by image quality assessment, is carried out.