• DocumentCode
    2485748
  • Title

    Application of pseudo-distance to lossless coding of color-mapped images

  • Author

    Koc, Basar ; Arnavut, Ziya

  • Author_Institution
    Dept. of Comput. Sci., SUNY Fredonia, Fredonia, NY, USA
  • fYear
    2011
  • fDate
    27-30 June 2011
  • Firstpage
    220
  • Lastpage
    224
  • Abstract
    Palette images are widely used in many applications, including WWW which occupies an important role in Cloud Computing. Recently, it has been shown that better compression can be obtained when a Huffman coder is used after a color-mapped image is transformed with a pseudo-distance metric. Unlike most of the color-mapped image compression techniques, which require two passes, the pseudo-distance compression technique requires one pass and runs in linear time. In this work, we show that further compression gains can be achieved for color-mapped images when a structured arithmetic coder is used along with the pseudo-distance metric.
  • Keywords
    Huffman codes; arithmetic codes; cloud computing; data compression; image coding; image colour analysis; Huffman coder; Palette images; WWW; cloud computing; color mapped image; image compression; linear time; lossless coding; pseudodistance compression technique; pseudodistance metric; structured arithmetic coder; Data compression; Image coding; Image color analysis; Indexes; Measurement; Pixel; Sorting; Cloud Computing; Euclidean Distance Transformation; Index-based Images; Lossless Compression; Structured Arithmetic Coder;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    System of Systems Engineering (SoSE), 2011 6th International Conference on
  • Conference_Location
    Albuquerque, NM
  • Print_ISBN
    978-1-61284-783-2
  • Type

    conf

  • DOI
    10.1109/SYSOSE.2011.5966601
  • Filename
    5966601