Full-reference Image Quality Metric For Computer-rendered Stereoscopic Images

In order to evaluate the quality of computer-generated stereoscopic images further accurately, we propose a new quality assessment metric based on the human visual system (HVS) modeling and machine-learning algorithm. First, we consider the existence of binocular rivalry to generate a cyclopean image of the asymmetrically distorted part that can be masked. Furthermore, we can get a pair of cyclope...