A new combined PSNR for objective video quality assessment
Xiwu Shang, Guozhong Wang, Haiwu Zhao, Jie Liang, Chengjia Wu, Lin Chang · 2017
In video coding, quality evaluation is important for improving the coding efficiency. Usually Peak Signal-to-Noise Ratio (PSNR) is utilized to measure the performance of different coding techniques. During the video coding process in YCbCr color space, there are three PSNRs, one for each color component. Sometimes they may contradict to each other, which poses a problem for evaluating the coding performance. Several video quality assessment (VQA) metrics have been proposed to measure the video quality with a combined PSNR. However, these combined PSNRs are obtained heuristically without theoretical justification. In this paper, we propose a color-sensitivity-based combined PSNR (CSP-SNR) based on extensive subjective tests on the sensitivity of human visual system (HVS) to different color components. Subjective experiment results demonstrate that the proposed combined PSNR correlates well with the mean opinion score (MOS) than existing methods.