FULL-REFERENCE QUALITY ASSESSMENT OF STEREOSCOPIC IMAGES BY MODELING BINOCULAR RIVALRY

被引：0

作者：

Chen, Ming-Jun ^{[1
]}

Su, Che-Chun ^{[1
]}

Kwon, Do-Kyoung ^{[2
]}

Cormack, Lawrence K. ^{[3
]}

Bovik, Alan C. ^{[1
]}

机构：

[1] Univ Texas Austin, Dept Elect & Comp Engn, Austin, TX 78712 USA

[2] Texas Instruments Inc, Syst & Applicat R&D Ctr, Austin, TX USA

[3] Univ Texas Austin, Dept Psychol, Austin, TX 78712 USA

来源：

2012 CONFERENCE RECORD OF THE FORTY SIXTH ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS AND COMPUTERS (ASILOMAR) | 2012年

关键词：

Binocular Rivalry; Image Quality; Stereoscopic Quality Assessment; Stereo Algorithm;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

We develop a framework for assessing the quality of stereoscopic images that have been afflicted by possibly asymmetric distortions. An intermediate image is generated which when viewed stereoscopically is designed to have a perceived quality close to that of the cyclopean image. We hypothesize that performing stereoscopic QA on the intermediate image yields higher correlations with human subjective judgments. The experimental results confirm the hypothesis and show that the proposed framework significantly outperforms conventional 2D QA metrics when predicting the quality of stereoscopically viewed images that may have been asymmetrically distorted.

引用

页码：721 / 725

页数：5

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