• DocumentCode
    318190
  • Title

    Efficient coding of the classification table in low bit rate subband image coding by use of hierarchical enumeration

  • Author

    Fuldseth, Arild ; Balasingham, Ilangko ; Ramstad, Tor A.

  • Author_Institution
    Dept. of Telecommun., Norwegian Univ. of Sci. & Technol., Trondheim, Norway
  • Volume
    2
  • fYear
    1997
  • fDate
    26-29 Oct 1997
  • Firstpage
    649
  • Abstract
    A new method for lossless coding of the classification table in low bit rate subband image coders with block-wise classification is proposed. The method is referred to as hierarchical enumeration and uses an algorithmic enumeration technique to associate a fixed-length unique binary codeword with each possible combination of integers defining the classification table. The resulting bit rate is less than the first order entropy of the classification table. When using hierarchical enumeration in combination with pyramid vector quantization of the subband samples, a high performance image coder using only fixed-length codewords is obtained. The proposed coder compares favorably with state-of-the art image coders using variable-length coding
  • Keywords
    entropy; image classification; image coding; image sampling; vector quantisation; algorithmic enumeration; block-wise classification; classification table; decoding; first order entropy; fixed-length unique binary codeword; hierarchical enumeration; high performance image coder; lossless coding; low bit rate subband image coding; pyramid vector quantization; subband samples; variable-length coding; Art; Bit rate; Electronic mail; Entropy; Filter bank; Frequency; Image coding; Signal resolution; Transform coding; Vector quantization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 1997. Proceedings., International Conference on
  • Conference_Location
    Santa Barbara, CA
  • Print_ISBN
    0-8186-8183-7
  • Type

    conf

  • DOI
    10.1109/ICIP.1997.638579
  • Filename
    638579