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