3D image quality index using SDP-based binocular perception model

Hyunsuk Ko; Chang-Su Kim; Seo Young Choi; C. C Jay Kuo

doi:10.1109/IVMSPW.2013.6611936

3D image quality index using SDP-based binocular perception model

Hyunsuk Ko, Chang-Su Kim, Seo Young Choi, C. C Jay Kuo

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

10 Citations (Scopus)

Abstract

A novel quality index for stereoscopic image pairs is proposed in this work. First, we introduce a parameter called the structural distortion parameter (SDP), which varies according to different distortion types. Then, we use the SDP as a control parameter in a binocular perception model, and apply it into three components of SSIM to obtain an overall quality index. In the proposed framework, the binocular model accommodates distortion types and distortion degrees and, therefore, offers robust quality assessment results for both symmetric and asymmetric distortions. It is shown by experimental results that the proposed index outperforms several existing 3D image quality index methods.

Original language	English
Title of host publication	2013 IEEE 11th IVMSP Workshop
Subtitle of host publication	3D Image/Video Technologies and Applications, IVMSP 2013 - Proceedings
DOIs	https://doi.org/10.1109/IVMSPW.2013.6611936
Publication status	Published - 2013
Event	2013 IEEE 11th Workshop on 3D Image/Video Technologies and Applications, IVMSP 2013 - Seoul, Korea, Republic of Duration: 2013 Jun 10 → 2013 Jun 12

Publication series

Name	2013 IEEE 11th IVMSP Workshop: 3D Image/Video Technologies and Applications, IVMSP 2013 - Proceedings

Other

Other	2013 IEEE 11th Workshop on 3D Image/Video Technologies and Applications, IVMSP 2013
Country/Territory	Korea, Republic of
City	Seoul
Period	13/6/10 → 13/6/12

Keywords

3D
asymmetric distortion
binocular perception model
quality index
structural distortion

ASJC Scopus subject areas

Computer Graphics and Computer-Aided Design
Computer Vision and Pattern Recognition
Computer Science Applications

Access to Document

10.1109/IVMSPW.2013.6611936

Cite this

Ko, H., Kim, C-S., Choi, S. Y., & Kuo, C. C. J. (2013). 3D image quality index using SDP-based binocular perception model. In 2013 IEEE 11th IVMSP Workshop: 3D Image/Video Technologies and Applications, IVMSP 2013 - Proceedings Article 6611936 (2013 IEEE 11th IVMSP Workshop: 3D Image/Video Technologies and Applications, IVMSP 2013 - Proceedings). https://doi.org/10.1109/IVMSPW.2013.6611936

3D image quality index using SDP-based binocular perception model. / Ko, Hyunsuk; Kim, Chang-Su; Choi, Seo Young et al.
2013 IEEE 11th IVMSP Workshop: 3D Image/Video Technologies and Applications, IVMSP 2013 - Proceedings. 2013. 6611936 (2013 IEEE 11th IVMSP Workshop: 3D Image/Video Technologies and Applications, IVMSP 2013 - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Ko, H, Kim, C-S, Choi, SY & Kuo, CCJ 2013, 3D image quality index using SDP-based binocular perception model. in 2013 IEEE 11th IVMSP Workshop: 3D Image/Video Technologies and Applications, IVMSP 2013 - Proceedings., 6611936, 2013 IEEE 11th IVMSP Workshop: 3D Image/Video Technologies and Applications, IVMSP 2013 - Proceedings, 2013 IEEE 11th Workshop on 3D Image/Video Technologies and Applications, IVMSP 2013, Seoul, Korea, Republic of, 13/6/10. https://doi.org/10.1109/IVMSPW.2013.6611936

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abstract = "A novel quality index for stereoscopic image pairs is proposed in this work. First, we introduce a parameter called the structural distortion parameter (SDP), which varies according to different distortion types. Then, we use the SDP as a control parameter in a binocular perception model, and apply it into three components of SSIM to obtain an overall quality index. In the proposed framework, the binocular model accommodates distortion types and distortion degrees and, therefore, offers robust quality assessment results for both symmetric and asymmetric distortions. It is shown by experimental results that the proposed index outperforms several existing 3D image quality index methods.",

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3D image quality index using SDP-based binocular perception model

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Keywords

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