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

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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.

Original languageEnglish
Title of host publicationProceedings of 2020 Data Compression Conference
Publication date2020
Article number167
ISBN (Print)9781728164571
Publication statusPublished - 2020
Event2020 Data Compression Conference - Virtual Conference, Snowbird, United States
Duration: 24 Mar 202027 Mar 2020


Conference2020 Data Compression Conference
LocationVirtual Conference
Country/TerritoryUnited States
SponsorBrandeis University, Microsoft USA, University of Arizona
Internet address


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