• DocumentCode
    959475
  • Title

    Improving DC coding models of JPEG arithmetic coder

  • Author

    Lakhani, Gopal

  • Author_Institution
    Texas Tech Univ., Lubbock, TX, USA
  • Volume
    11
  • Issue
    5
  • fYear
    2004
  • fDate
    5/1/2004 12:00:00 AM
  • Firstpage
    505
  • Lastpage
    508
  • Abstract
    While conducting experiments with JPEG binary arithmetic coding, we noticed that if a natural photographic image is rotated by 90° and then coded, the DC code size is reduced in general. This led us to investigate the discrete cosine transform and statistical models of JPEG arithmetic coder, and formulate two modifications to DC coefficient coding. We propose that the DC of a block should be predicted from the block just above. This modification reduces the DC code size further by about 9% on average. This change is more important for arithmetic coding than Huffman DC coding. We also propose a change in the binary decision coding order specified by the DC statistical model; it produces only a minor reduction in the code size.
  • Keywords
    Huffman codes; arithmetic codes; binary codes; binary decision diagrams; discrete cosine transforms; entropy codes; image coding; photographic process; DC coding models; DC coefficient coding; Huffman DC coding; JPEG binary arithmetic coding; QM-coder; arithmetic entropy coding; binary decision coding; discrete cosine transform; natural photographic image coding; statistical models; Arithmetic; Discrete cosine transforms; Entropy coding; Huffman coding; Image coding; Image converters; Laplace equations; Standards development; Transform coding; Video compression;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9908
  • Type

    jour

  • DOI
    10.1109/LSP.2004.826643
  • Filename
    1288119