Bivariate statistics and binocular energy induced stereo-pair quality evaluator
Yang Yao, Liquan Shen, Ping An · 2017
With the flourishment of 3D content, stereoscopic image quality assessment (SIQA) becomes an urgent issue in image processing field. In this paper, a new blind SIQA method is proposed based on bivariate natural scene statistics (NSS) model that is conducted on the binocular Gabor energy response. Specifically, Gabor responses of two views are combined using a binocular energy model. Then bivariate statistics of the jointly spatially adjacent responses of the fused Gabor energy are calculated for feature extraction. Experimental results on LIVE 3D Image Quality Database demonstrate the promising performance of the proposed method.