• DocumentCode
    3613879
  • Title

    Fuzzy coded trellis quantization

  • Author

    D. Gleich;P. Planinsic;Z. Cucej

  • Author_Institution
    Fac. of Electr. Eng. & Comput. Sci., Maribor Univ., Slovenia
  • fYear
    2002
  • fDate
    6/24/1905 12:00:00 AM
  • Firstpage
    49
  • Lastpage
    52
  • Abstract
    In this paper we propose an image compression algorithm based on embedded trellis quantization and inventive fuzzy context based modeling (TCQFCB). The indices produced by trellis-coded quantization are adaptively arithmetically coded, bit plane by bit plane. The fuzzy logic is used to assign the probability of the coded symbol for an arithmetic coder. The probability of the coded bit depends on the previous coded bits. The fuzzy logic is used in order to attribute the highest possible probability of the coded bit. The performance of the proposed method is comparable with the state-of-the-art methods.
  • Keywords
    "Quantization","Context modeling","Arithmetic","Fuzzy logic","Image coding","Probability","Computer science","Art","Entropy coding","Optimization methods"
  • Publisher
    ieee
  • Conference_Titel
    Video/Image Processing and Multimedia Communications 4th EURASIP-IEEE Region 8 International Symposium on VIPromCom
  • Print_ISBN
    953-7044-01-7
  • Type

    conf

  • DOI
    10.1109/VIPROM.2002.1026626
  • Filename
    1026626