中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Stereoscopic image quality assessment method based on binocular combination saliency model

文献类型:期刊论文

作者Liu, Yun; Yang, Jiachen; Meng, Qinggang; Lv, Zhihan; Song, Zhanjie; Gao, Zhiqun
刊名SIGNAL PROCESSING
出版日期2016
英文摘要The objective quality assessment of stereoscopic images plays an important role in three-dimensional (3D) technologies. In this paper, we propose an effective method to evaluate the quality of stereoscopic images that are afflicted by symmetric distortions. The major technical contribution of this paper is that thebinocular combination behaviors and human 3D visual saliency characteristics are both considered. In particular, a new 3D saliency map is developed, which not only greatly reduces the computational complexity by avoiding calculation of the depth information, but also assigns appropriate weights to theimage contents. Experimental results indicate that the proposed metric not only significantly outperforms conventional 2D quality metrics, but also achieves higher performance than the existing 3D qualityassessment models
收录类别SCI
原文出处http://www.sciencedirect.com/science/article/pii/S0165168416000360
语种英语
源URL[http://ir.siat.ac.cn:8080/handle/172644/10187]  
专题深圳先进技术研究院_数字所
作者单位SIGNAL PROCESSING
推荐引用方式
GB/T 7714
Liu, Yun,Yang, Jiachen,Meng, Qinggang,et al. Stereoscopic image quality assessment method based on binocular combination saliency model[J]. SIGNAL PROCESSING,2016.
APA Liu, Yun,Yang, Jiachen,Meng, Qinggang,Lv, Zhihan,Song, Zhanjie,&Gao, Zhiqun.(2016).Stereoscopic image quality assessment method based on binocular combination saliency model.SIGNAL PROCESSING.
MLA Liu, Yun,et al."Stereoscopic image quality assessment method based on binocular combination saliency model".SIGNAL PROCESSING (2016).

入库方式: OAI收割

来源:深圳先进技术研究院

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