Perceptual distortion metric for stereo video quality evaluation

Abstract

Stereo video is regarded as an important developing trend of video technology and there is an increasing need to develop efficient and perceptually consistent methods for stereo video quality evaluation in the fields of stereo video signal processing. In this paper, a perceptual metric for stereo video quality evaluation is proposed based on the state-of-the-art physiological and psychological achievements on human visual system (HVS). Several main HVS properties related to stereo video are analyzed and a multi-channel vision model based on 3D wavelet decomposition is proposed. Simulations are performed and experimental results reveal that, compared with the traditional objective metrics such as peak signal-to-noise ratio (PSNR) and mean squared error (MSE), the proposed metric is more perceptually consistent.