A new color image quality measure based on YUV transformation and PSNR for human vision system

Authors : Yıldıray YALMAN, İsmail ERTÜRK

Pages : 603-612

Doi:10.3906/elk-1111-11

View : 14 | Download : 13

Publication Date : 0000-00-00

Article Type : Research Paper

Abstract :Various methods for measuring perceptual image quality attempt to quantify the visibility of differences between an original digital image and its distorted version using a variety of known properties of the human vision system insert ignore into journalissuearticles values(HVS);. In this paper, we propose a simple and effective full-reference color image quality measure insert ignore into journalissuearticles values(CQM); based on reversible luminance and chrominance insert ignore into journalissuearticles values(YUV); color transformation and peak signal-to-noise ratio insert ignore into journalissuearticles values(PSNR); measure. The main motivation of this new measure relies on a unique feature of the human eye response to the luminance and color. Experimental studies about the applicability of the CQM on a well-known test image under 6 different distortions, both perceivable by the human vision system and with the same PSNR value insert ignore into journalissuearticles values(i.e. 27.67);, are presented. The CQM results are obtained as 39.56, 38.93, 38.08, 37.43, 37.10, and 36.79 dB for each distorted image, showing that image quality of the first image is noticeably higher than the others with respect to the same PSNR value. This conclusion attests that using the CQM together with the traditional PSNR approach provides distinguished results.
Keywords : Image quality measure, human vision system, color transformation, PSNR, YUV