A NEW NO-REFERENCE STEREOSCOPIC IMAGE QUALITY ASSESSMENT BASED ON OCULAR DOMINANCE THEORY AND DEGREE OF PARALLAX

被引:0
作者
Gu, Ke [1 ]
Zhai, Guangtao [1 ]
Yang, Xiaokang [1 ]
Zhang, Wenjun [1 ]
机构
[1] Shanghai Jiao Tong Univ, Inst Image Commun & Informat Proc, Shanghai Key Lab Digital Media Proc & Transmiss, Shanghai 200030, Peoples R China
来源
2012 21ST INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR 2012) | 2012年
基金
加拿大自然科学与工程研究理事会;
关键词
Stereoscopic image; image quality assessment (IQA); no-reference; ocular dominance; parallax;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In recent years, while stereoscopic images were becoming widely applied and the corresponding technologies were substantially developed, very few stereoscopic image quality assessment metrics were proposed, especially under the condition that there is no reference image available. This paper proposes a new no-reference stereoscopic image quality assessment algorithm based on the ocular dominance theory and degree of parallax. All of our tests using the Toyama database draw two valuable conclusions. First, the performances of stereoscopic image quality assessment methods are significantly affected by difference of image qualities between the left and right images. Second, to offset the discriminations of different degrees of parallax caused by various 3D image contents is required indeed. Experiments and comparative studies are provided to confirm the effectiveness of our proposed new stereoscopic image quality metric.
引用
收藏
页码:206 / 209
页数:4
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