Title :
Considering binocular spatial sensitivity in stereoscopic image quality assessment
Author :
Xu Wang ; Sam Kwong ; Yun Zhang
Author_Institution :
Dept. of Comput. Sci., City Univ. of Hong Kong, Hong Kong, China
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.
Keywords :
image fusion; stereo image processing; visual perception; 2D image quality metrics; 3D images; 3D visual signals processing; binocular fusion; binocular spatial sensitivity map; generic perceptual quality metrics; human perception; human subjective scores; quality measurement; stereoscopic image quality assessment; three-dimensional visual signals processing; two dimensional image quality metrics; Image coding; Image quality; Sensitivity; Stereo image processing; Three dimensional displays; Visualization;
Conference_Titel :
Visual Communications and Image Processing (VCIP), 2011 IEEE
Conference_Location :
Tainan
Print_ISBN :
978-1-4577-1321-7
Electronic_ISBN :
978-1-4577-1320-0
DOI :
10.1109/VCIP.2011.6116015