Title: Binocular visual characteristics-based stereoscopic image quality assessment metric for 3D video system

Authors: Xin Jin; Mei Yu; Jiangying Zhu; Gangyi Jiang; Feng Shao; Zongju Peng

Addresses: Faculty of Information Science and Engineering, Ningbo University, Ningbo 315211, China ' Faculty of Information Science and Engineering, Ningbo University, Ningbo 315211, China; National Key Lab of Software New Technology, Nanjing University, Nanjing 210093, China ' Faculty of Information Science and Engineering, Ningbo University, Ningbo 315211, China ' Faculty of Information Science and Engineering, Ningbo University, Ningbo 315211, China; National Key Lab of Software New Technology, Nanjing University, Nanjing 210093, China ' Faculty of Information Science and Engineering, Ningbo University, Ningbo 315211, China ' Faculty of Information Science and Engineering, Ningbo University, Ningbo 315211, China

Abstract: Compared with two-dimensional image quality assessment (2D-IQA), stereoscopic IQA (SIQA) has to take the binocular perception into consideration. In this paper, a new SIQA metric is proposed for three-dimensional video systems, which is based on binocular visual characteristics and contains two parts: binocular perceptual distortion evaluation (BPDE) and stereoscopic evaluation (SE). To get the results of the BPDE and SE, a simple-complex cell along with different human visual system characteristics are used to compute the quality of binocular fusion maps and disparity maps between original and distorted stereoscopic image pairs. The final quality score is obtained by a nonlinear combination of BPDE value and SE value. Experimental results show that proposed SIQA metric in which the Pearson linear correlation coefficient (PLCC) and Spearman rank order correlation coefficient (SROCC) exceed 0.94 and 0.93 outperform current 2D-IQA and SIQA metrics.

Keywords: 3D video systems; stereoscopic image quality; image quality assessment; binocular vision; binocular just noticeable difference; BJND; structural similarity; stereoscopic images; binocular fusion maps; disparity maps.

DOI: 10.1504/IJICT.2016.079118

International Journal of Information and Communication Technology, 2016 Vol.9 No.3, pp.243 - 260

Received: 11 Mar 2014
Accepted: 26 Jun 2014
Published online: 14 Sep 2016 *

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