On color image quality assessment using natural image statistics

Abstract—Color distortion can introduce a significant damage in visual quality perception, however, most of ex-isting reduced-reference quality measures are designed for grayscale images. In this paper, we consider a basic exten-sion of well-known image-statistics based quality assessment measures to color images. In order to evaluate the impact of color information on the measures efficiency, two color spaces are investigated: RGB and CIELAB. Results of an extensive evaluation using TID 2013 benchmark demonstrates that significant improvement can be achieved for a great number of distortion type when the CIELAB color representation is used. Keywords-color space; reduced reference measure; natural image statistics; image quality assessment I