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

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    Abstract

    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
    PublisherIEEE
    Publication date2020
    Pages43-52
    Article number167
    ISBN (Print)9781728164571
    DOIs
    Publication statusPublished - 2020
    Event2020 Data Compression Conference - Virtual Conference, Snowbird, United States
    Duration: 24 Mar 202027 Mar 2020
    https://ieeexplore.ieee.org/xpl/conhome/9102212/proceeding

    Conference

    Conference2020 Data Compression Conference
    LocationVirtual Conference
    Country/TerritoryUnited States
    CitySnowbird
    Period24/03/202027/03/2020
    Internet address

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