Lossless Grayscale Image Coding by Using Higher Order Context Modeling and Bit-Plane Decomposition

H. Joung, S. P. Kim, E. K. Wong

    Research output: Contribution to conferencePaperpeer-review

    Abstract

    The technique for lossless grayscale image coding was described using higher order context modeling and bit-plane decomposition (BPD). In bit-plane decomposition, a k-bit grayscale image is decomposed into a set of k binary planes. The bit-plane encoding algorithms encode the bit-planes independently and uses large uniform areas in each plane to achieve high compression. The results demonstrated significant gains in performance over JPEG, regular arithematic coding, and high-order conditional entropy (HOCE)-BPD using two dimensional modeling.

    Original languageEnglish (US)
    Pages254-257
    Number of pages4
    StatePublished - 1998
    Event4th International Conference on Computer Science and Informatics, JCIS 1998, 1st International Workshop on High Performance, 1st International Workshop on Computer Vision, Pattern Recognition and Image Processing Volume 4 - Research Triangle Park, NC, United States
    Duration: Oct 23 1998Oct 28 1998

    Other

    Other4th International Conference on Computer Science and Informatics, JCIS 1998, 1st International Workshop on High Performance, 1st International Workshop on Computer Vision, Pattern Recognition and Image Processing Volume 4
    CountryUnited States
    CityResearch Triangle Park, NC
    Period10/23/9810/28/98

    ASJC Scopus subject areas

    • Computer Science(all)

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