Color Image Quality Assessment Based on Image Quality Parameters Perceived by Human Vision System

A color image quality assessment (C-IQA) method was proposed based on the primary and fundamental image quality parameters perceived by human vision system. The methods for measuring these parameters were given. A comprehensive image quality assessment model, called as the best quality assessment function for the color image, was established through trials by means of these parameters. The maximum of the function corresponds to the color image with the best quality. The function could be used either in FR-IQA or in NR-IQA. Not only it does not relied to any reference image but also could be used to assess the reference image quality. The method could also be used to acquire the color image with the best quality by means of a reference image through a gray transformation our called Zadeh-X transformation if the reference image quality is not good enough.