Paper
17 March 2015 Depth assisted compression of full parallax light fields
Danillo B. Graziosi, Zahir Y. Alpaslan, Hussein S. El-Ghoroury
Author Affiliations +
Proceedings Volume 9391, Stereoscopic Displays and Applications XXVI; 93910Y (2015) https://doi.org/10.1117/12.2083439
Event: SPIE/IS&T Electronic Imaging, 2015, San Francisco, California, United States
Abstract
Full parallax light field displays require high pixel density and huge amounts of data. Compression is a necessary tool used by 3D display systems to cope with the high bandwidth requirements. One of the formats adopted by MPEG for 3D video coding standards is the use of multiple views with associated depth maps. Depth maps enable the coding of a reduced number of views, and are used by compression and synthesis software to reconstruct the light field. However, most of the developed coding and synthesis tools target linearly arranged cameras with small baselines. Here we propose to use the 3D video coding format for full parallax light field coding. We introduce a view selection method inspired by plenoptic sampling followed by transform-based view coding and view synthesis prediction to code residual views. We determine the minimal requirements for view sub-sampling and present the rate-distortion performance of our proposal. We also compare our method with established video compression techniques, such as H.264/AVC, H.264/MVC, and the new 3D video coding algorithm, 3DV-ATM. Our results show that our method not only has an improved rate-distortion performance, it also preserves the structure of the perceived light fields better.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Danillo B. Graziosi, Zahir Y. Alpaslan, and Hussein S. El-Ghoroury "Depth assisted compression of full parallax light fields", Proc. SPIE 9391, Stereoscopic Displays and Applications XXVI, 93910Y (17 March 2015); https://doi.org/10.1117/12.2083439
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CITATIONS
Cited by 6 scholarly publications and 20 patents.
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KEYWORDS
Cameras

Image compression

Computer programming

Visibility

3D displays

Video coding

Reconstruction algorithms

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