Abstract
Developing reliable and generic perceptual quality metrics is an challenging issue in three-dimensional (3D) visual signals processing, although many two dimensional (2D) image quality metrics have been proposed and work well on 2D images. In this paper, the binocular spatial sensitivity influenced by the binocular fusion and rivalry properties is considered in the quality measurement. Firstly, the binocular spatial sensitivity map is modeled to reflect the properties. Then, a framework of integration of binocular spatial sensitivity map into quality assessment is presented. Experimental results show that the proposed metric correlate well with human perception of quality on a dataset of 3D images and human subjective scores.
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