Quality Assessment from Grayscale to Color Images

Abstract

Color images reveal more meaningful information to the human observers rather than grayscale ones. Regardless of the advantages of the existing well-known objective image quality metrics, one of the common and major limitations of these metrics is that they evaluate the quality of grayscale images only and don't make use of color information. In this paper we propose an improved method for image quality assessment that adds a color comparison to the criteria of the well-known Structural Similarity index (SSIM). We validated the proposed metric on the TID2013 image database and the experimental results show that the quality scores given by the proposed metric are more consistent with HVS than other state-of-art metrics.