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Conference paper

EPIC: Context Adaptive Lossless Light Field Compression using Epipolar Plane Images

From

Department of Photonics Engineering, Technical University of Denmark1

Coding and Visual Communication, Department of Photonics Engineering, Technical University of Denmark2

This paper proposes extensions of CALIC for lossless compression of light field (LF) images. The overall prediction process is improved by exploiting the linear structure of Epipolar Plane Images (EPI) in a slope based prediction scheme. The prediction is improved further by averaging predictions made using horizontal and verticals EPIs.

Besides this, the difference in these predictions is included in the error energy function, and the texture context is redefined to improve the overall compression ratio. The results using the proposed method shows significant bitrate-savings in comparison to standard lossless coding schemes and offers significant reduction in computational complexity in comparison to the state-of-the-art compression schemes.

Language: English
Publisher: IEEE
Year: 2020
Pages: 43-52
Proceedings: 2020 Data Compression Conference
ISBN: 1728164575 , 1728164583 , 9781728164571 and 9781728164588
ISSN: 23750383 , 10680314 and 23750359
Types: Conference paper
DOI: 10.1109/DCC47342.2020.00012
ORCIDs: Mukati, Muhammad Umair and Forchhammer, Søren

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