NDLI: Binocular Perceptual Model for Symmetric and Asymmetric 3D Stereoscopic Image Compression

Content Provider	IEEE Xplore Digital Library
Author	Yu Hsun Lin Ja Ling Wu
Copyright Year	2014
Description	Author affiliation: Grad. Inst. of Networking & Multimedia, Nat. Taiwan Univ., Taipei, Taiwan (Yu Hsun Lin; Ja Ling Wu)
Abstract	The objective approaches of 3D image quality assessment play a key role in the development of compression standards and various 3D multimedia applications. The quality assessment of 3D images faces many new challenges, e.g. asymmetric stereo compression, depth perception, and virtual view synthesis, as compared with its 2D counterparts. Moreover, the widely used 2D image quality metric (e.g. PSNR) cannot be directly applied to deal with these newly introduced challenges. This statement can be verified by the low correlation between the computed objective measures and the subjectively measured mean opinion scores (MOS), when 3D images are the tested targets. In order to meet these challenges, in this work, besides traditional 2D image metrics, two binocular behaviors - the binocular combination and the Binocular Frequency Integration (BFI), are utilized as the bases for measuring the quality of stereoscopic 3D images. The effectiveness of BFI-based metrics is verified by conducting subjective evaluations on a publicly available stereo image dataset. Experimental results show that significant consistency could be reached between the measured MOS and the BFI-based metrics, in which the correlation coefficient between them can go up to 0.89 even if the stereo images have been asymmetrically HEVC compressed. Based on the proposed quality metric, we find that asymmetric-stereo compression schemes outperform the corresponding symmetric ones in high bit rate scenarios, which opens up a new research direction for 3D stereo image/video compression studies.
Sponsorship	IEEE Signal Process. Soc.
Starting Page	113
Ending Page	122
File Size	836472
Page Count	10
File Format	PDF
ISBN	9781479938827
ISSN	10680314
DOI	10.1109/DCC.2014.33
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-03-26
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Three-dimensional displays Measurement Biological system modeling Image coding Brightness Visualization Quality assessment
Content Type	Text
Resource Type	Article
Subject	Computer Networks and Communications

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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