Full-reference quality assessment of stereopairs accounting for rivalry

被引:342
|
作者
Chen, Ming-Jun [1 ]
Su, Che-Chun [1 ]
Kwon, Do-Kyoung [2 ]
Cormack, Lawrence K. [3 ,4 ]
Bovik, Alan C. [1 ]
机构
[1] Univ Texas Austin, Dept Elect & Comp Engn, LIVE Lab, Austin, TX 78712 USA
[2] Texas Instruments Inc, Syst & Applicat R&D Ctr, Dallas, TX 75243 USA
[3] Univ Texas Austin, Ctr Perceptual Syst, Austin, TX 78712 USA
[4] Univ Texas Austin, Dept Psychol, Austin, TX 78712 USA
基金
美国国家科学基金会;
关键词
Binocular rivalry; Image quality; Stereoscopic quality assessment; Stereo algorithm; BINOCULAR-RIVALRY; COMPRESSION; CONTRAST; IMAGES;
D O I
10.1016/j.image.2013.05.006
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
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. (c) 2013 Elsevier B.V. All rights reserved.
引用
收藏
页码:1143 / 1155
页数:13
相关论文
共 50 条
  • [1] FULL-REFERENCE QUALITY ASSESSMENT OF STEREOSCOPIC IMAGES BY MODELING BINOCULAR RIVALRY
    Chen, Ming-Jun
    Su, Che-Chun
    Kwon, Do-Kyoung
    Cormack, Lawrence K.
    Bovik, Alan C.
    [J]. 2012 CONFERENCE RECORD OF THE FORTY SIXTH ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS AND COMPUTERS (ASILOMAR), 2012, : 721 - 725
  • [2] FULL-REFERENCE STEREOSCOPIC IMAGE QUALITY ASSESSMENT ACCOUNTING FOR BINOCULAR COMBINATION AND DISPARITY INFORMATION
    Fan, Yu
    Larabi, Mohamed-Chaker
    Cheikh, Faouzi Alaya
    Fernandez-Maloigne, Christine
    [J]. 2017 24TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), 2017, : 760 - 764
  • [3] Investigation of Full-Reference Image Quality Assessment
    Das, Dibyasundar
    Nayak, Ajit Kumar
    [J]. INTELLIGENT COMPUTING, COMMUNICATION AND DEVICES, 2015, 309 : 449 - 456
  • [4] A Full-Reference Quality Assessment Metric for Cartoon Images
    Li, Chunyi
    Zhang, Zicheng
    Sun, Wei
    Min, Xiongkuo
    Zhai, Guangtao
    [J]. 2022 IEEE 24TH INTERNATIONAL WORKSHOP ON MULTIMEDIA SIGNAL PROCESSING (MMSP), 2022,
  • [5] A full-reference laparoscopic video quality assessment algorithm
    Borate, Hrishikesh Hemanth
    Kara, Peter A.
    Appina, Balasubramanyam
    Simon, Aniko
    [J]. OPTICS AND PHOTONICS FOR INFORMATION PROCESSING XV, 2021, 11841
  • [6] Efficient full-reference assessment of image and video quality
    Ndjiki-Nya, Patrick
    Barrado, Mikel
    Wiegand, Thomas
    [J]. 2007 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOLS 1-7, 2007, : 689 - 692
  • [7] Full-Reference Image Quality Assessment with Transformer and DISTS
    Tsai, Pei-Fen
    Peng, Huai-Nan
    Liao, Chia-Hung
    Yuan, Shyan-Ming
    [J]. MATHEMATICS, 2023, 11 (07)
  • [8] Sampled Efficient Full-Reference Image Quality Assessment Models
    Bampis, Christos G.
    Goodall, Todd R.
    Bovik, Alan C.
    [J]. 2016 50TH ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS AND COMPUTERS, 2016, : 561 - 565
  • [9] Full-reference tone-mapped images quality assessment
    Faraji, Mohammad Reza
    [J]. IET IMAGE PROCESSING, 2021, 15 (03) : 763 - 773
  • [10] Combining CNN and transformers for full-reference and no-reference image quality assessment
    Zeng, Chao
    Kwong, Sam
    [J]. NEUROCOMPUTING, 2023, 549