Full-reference quality assessment of stereopairs accounting for rivalry
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...
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| Published in | Signal processing. Image communication Vol. 28; no. 9; pp. 1143 - 1155 |
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| Main Authors | , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Elsevier B.V
01.10.2013
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| Subjects | |
| Online Access | Get full text |
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| Abstract | 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.
•A 3D QA framework that models binocular rivalry is proposed.•The proposed framework significantly improves the performance of 2D QA models in predicting 3D quality of stereoscopic 3D images.•A 3D image quality database with ground truth disparity is constructed and will be made public. |
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| AbstractList | 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. 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 imaees that may have been asymmetrically distorted. 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. •A 3D QA framework that models binocular rivalry is proposed.•The proposed framework significantly improves the performance of 2D QA models in predicting 3D quality of stereoscopic 3D images.•A 3D image quality database with ground truth disparity is constructed and will be made public. |
| Author | Chen, Ming-Jun Kwon, Do-Kyoung Bovik, Alan C. Cormack, Lawrence K. Su, Che-Chun |
| Author_xml | – sequence: 1 givenname: Ming-Jun surname: Chen fullname: Chen, Ming-Jun email: mjchen@utexas.edu organization: LIVE Laboratory, Department of Electrical and Computer Engineering, University of Texas, Austin, TX 78712, USA – sequence: 2 givenname: Che-Chun surname: Su fullname: Su, Che-Chun email: ccsu@utexas.edu organization: LIVE Laboratory, Department of Electrical and Computer Engineering, University of Texas, Austin, TX 78712, USA – sequence: 3 givenname: Do-Kyoung surname: Kwon fullname: Kwon, Do-Kyoung email: d-kwon@ti.com organization: Systems and Applications R&D Center, Texas Instrument, Dallas, TX 75243, United States – sequence: 4 givenname: Lawrence K. surname: Cormack fullname: Cormack, Lawrence K. email: cormack@psy.utexas.edu organization: The Center for Perceptual Systems and the Department of Psychology, University of Texas at Austin, Austin, TX 78712, USA – sequence: 5 givenname: Alan C. surname: Bovik fullname: Bovik, Alan C. email: bovik@ece.utexas.edu organization: LIVE Laboratory, Department of Electrical and Computer Engineering, University of Texas, Austin, TX 78712, USA |
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