Constructing NR-IQA Function Based on Product of Information Entropy and Contrast

Based on study of variation of information entropy and mean contrast with transformation parameters in image gay transformation, a no reference image quality assessment function constructed by the product of information entropy and mean contrast, InEnCF, is established. A criterion for the optimal image is determined by the maximum of no reference image quality assessment function. An optimal quality image can be obtained when a gray transformation is finished by means of the transformation parameters corresponding to this criterion in the gray transformation equation.