中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Binocular vision based objective quality assessment method for stereoscopic images

文献类型:期刊论文

作者Gangyi Jiang; Junming Zhou; Mei Yu; Yun Zhang; Feng Shao; Zongju Peng
刊名MULTIMEDIA TOOLS AND APPLICATIONS
出版日期2015
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 proposedmethod 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 overallquality 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.
收录类别SCI
原文出处http://download.springer.com/static/pdf/216/art%253A10.1007%252Fs11042-014-2051-x.pdf?originUrl=http%3A%2F%2Flink.springer.com%2Farticle%2F10.1007%2Fs11042-014-2051-x&token2=exp=1442907494~acl=%2Fstatic%2Fpdf%2F216%2Fart%25253A10.1007%25252Fs11042-014-2051-x.pdf%3ForiginUrl%3Dhttp%253A%252F%252Flink.springer.com%252Farticle%252F10.1007%252Fs11042-014-2051-x*~hmac=38a5c392f3c3c9b6a5d256c9a506e88285a28bb9b170b616e3204f7bbe325951
语种英语
源URL[http://ir.siat.ac.cn:8080/handle/172644/6855]  
专题深圳先进技术研究院_数字所
作者单位MULTIMEDIA TOOLS AND APPLICATIONS
推荐引用方式
GB/T 7714
Gangyi Jiang,Junming Zhou,Mei Yu,et al. Binocular vision based objective quality assessment method for stereoscopic images[J]. MULTIMEDIA TOOLS AND APPLICATIONS,2015.
APA Gangyi Jiang,Junming Zhou,Mei Yu,Yun Zhang,Feng Shao,&Zongju Peng.(2015).Binocular vision based objective quality assessment method for stereoscopic images.MULTIMEDIA TOOLS AND APPLICATIONS.
MLA Gangyi Jiang,et al."Binocular vision based objective quality assessment method for stereoscopic images".MULTIMEDIA TOOLS AND APPLICATIONS (2015).

入库方式: OAI收割

来源:深圳先进技术研究院

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