Binocular vision based objective quality assessment method for stereoscopic images

doi:10.1007/s11042-014-2051-x

CORC > 计算技术研究所 > 中国科学院计算技术研究所 > 中国科学院计算技术研究所期刊论文 > 英文

	Binocular vision based objective quality assessment method for stereoscopic images
	Jiang, Gangyi 1,2; Zhou, Junming 1,2; Yu, Mei 1; Zhang, Yun 3; Shao, Feng 1; Peng, Zongju 1
刊名	MULTIMEDIA TOOLS AND APPLICATIONS
	2015-09-01
卷号	74 期号:18 页码:8197-8218
关键词	Stereoscopic image Objective quality assessment Human visual system Binocular fusion Binocular suppression
ISSN号	1380-7501
DOI	10.1007/s11042-014-2051-x
英文摘要	Human visual system (HVS) can perceive the difference between two retinal images to create a mental image with depth perception, which is the result of two binocular interactions, i.e., binocular fusion and suppression. According to perceptual attributes of binocular interactions, in this paper, a full-reference stereoscopic image quality assessment (SIQA) method is proposed based on the mechanisms of binocular fusion and suppression. There are two kinds of information in stereoscopic images: monocular information which is visible in only one view, and binocular information which is visible in two views. HVS adopts two ways to deal with the binocular information, one is binocular fusion which deals with the information with similar content and small disparity, the other is binocular suppression which deals with the information with dissimilar content or large disparity. Therefore, the proposed method firstly divides a distorted stereoscopic image into occluded, pseudo-binocular fusion and pseudo-binocular suppression regions. Then three methods are respectively adopted to assess the quality of the three regions and the three quality indices combine into one to represent the overall quality of the distorted stereoscopic image. Finally, the predictive performance of the proposed method is evaluated and compared with existing methods in terms of consistency, cross-image and cross-distortion, and robustness. Experimental results show that the proposed SIQA method outperforms other methods and can predict human visual perception of stereoscopic image more accurately.
资助项目	Natural Science Foundation of China[U1301257] ; Natural Science Foundation of China[61271270] ; Natural Science Foundation of China[61171163] ; Natural Science Foundation of China[61271021] ; K. C. Wong Magna Fund in Ningbo University
WOS研究方向	Computer Science ; Engineering
语种	英语
出版者	SPRINGER
WOS记录号	WOS:000360377200035
内容类型	期刊论文
源URL	[http://119.78.100.204/handle/2XEOYT63/9423]
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Jiang, Gangyi
作者单位	1.Ningbo Univ, Fac Informat Sci & Engn, Ningbo 315211, Zhejiang, Peoples R China 2.Chinese Acad Sci, Inst Comp Technol, Beijing 100080, Peoples R China 3.Chinese Acad Sci, Shenzhen Inst Adv Technol, Shenzhen 518055, Peoples R China
推荐引用方式 GB/T 7714	Jiang, Gangyi,Zhou, Junming,Yu, Mei,et al. Binocular vision based objective quality assessment method for stereoscopic images[J]. MULTIMEDIA TOOLS AND APPLICATIONS,2015,74(18):8197-8218.
APA	Jiang, Gangyi,Zhou, Junming,Yu, Mei,Zhang, Yun,Shao, Feng,&Peng, Zongju.(2015).Binocular vision based objective quality assessment method for stereoscopic images.MULTIMEDIA TOOLS AND APPLICATIONS,74(18),8197-8218.
MLA	Jiang, Gangyi,et al."Binocular vision based objective quality assessment method for stereoscopic images".MULTIMEDIA TOOLS AND APPLICATIONS 74.18(2015):8197-8218.