中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Stereoscopic Image Quality Assessment by Learning Non-negative Matrix Factorization-based Color Visual Characteristics and Considering Binocular Interactions

文献类型:期刊论文

作者Jiang, Gangyi; Xu, Haiyong; Yu, Mei; Luo, Ting; Zhang, Yun
刊名Journal of Visual Communication and Image Representation
出版日期2017
文献子类期刊论文
英文摘要In this paper, we propose a novel stereoscopic image quality assessment (SIQA) method by learning non-negative matrix factorization (NMF)-based color visual characteristics for monocular perception and considering binocular interactions. In training phase, a feature basis matrix is learned based on NMF by considering color information and a feature detector is designed by performing Schmidt orthogonalization on the feature basis matrix. In construction of SIQA phase, for monocular perception, visual saliency regions are selected and parts-based feature similarity indexes of left and right views based on the feature vectors extracted by the feature detector are calculated. For binocular interactions, we calculate cyclopean feature similarity index by considering binocular fusion and rivalry. Finally, support vector regression is used to simulate nonlinear relationship between monocular perception and binocular interactions. Experimental results on LIVE 3D image databases and NBU 3D IQA database demonstrate that the proposed SIQA method is more consistent with human perception
URL标识查看原文
语种英语
源URL[http://ir.siat.ac.cn:8080/handle/172644/12462]  
专题深圳先进技术研究院_数字所
作者单位Journal of Visual Communication and Image Representation
推荐引用方式
GB/T 7714
Jiang, Gangyi,Xu, Haiyong,Yu, Mei,et al. Stereoscopic Image Quality Assessment by Learning Non-negative Matrix Factorization-based Color Visual Characteristics and Considering Binocular Interactions[J]. Journal of Visual Communication and Image Representation,2017.
APA Jiang, Gangyi,Xu, Haiyong,Yu, Mei,Luo, Ting,&Zhang, Yun.(2017).Stereoscopic Image Quality Assessment by Learning Non-negative Matrix Factorization-based Color Visual Characteristics and Considering Binocular Interactions.Journal of Visual Communication and Image Representation.
MLA Jiang, Gangyi,et al."Stereoscopic Image Quality Assessment by Learning Non-negative Matrix Factorization-based Color Visual Characteristics and Considering Binocular Interactions".Journal of Visual Communication and Image Representation (2017).

入库方式: OAI收割

来源:深圳先进技术研究院

浏览0
下载0
收藏0
其他版本

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。