• DocumentCode
    2400417
  • Title

    Alternative methods for codebook design in vector quantization

  • Author

    Delport, Volker

  • Author_Institution
    Tech. Univ. Chemnitz, Germany
  • fYear
    1995
  • fDate
    28-30 Mar 1995
  • Firstpage
    485
  • Abstract
    A vector quantizer maps a multidimensional vector space into a finite subset of reproduction vectors called a codebook. For codebook optimization the well known LBG algorithm or a simulated annealing technique are commonly used. Two alternative methods the fuzzy-c-mean (FCM) and a genetic algorithm (GA) are proposed. In order to illustrate the algorithm performance a DCT-VQ has been chosen. The fixed partition scheme based on the mean energy per coefficient is shown for the test image “Lena”
  • Keywords
    discrete cosine transforms; fuzzy set theory; genetic algorithms; image coding; transform coding; vector quantisation; DCT-VQ; algorithm performance; alternative methods; codebook design; codebook optimization; fixed partition; fuzzy-c-mean; genetic algorithm; mean energy per coefficient; multidimensional vector space; reproduction vectors; test image; vector quantization; Design methodology; Genetic algorithms; Machine learning; Machine learning algorithms; Partitioning algorithms; Vector quantization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Compression Conference, 1995. DCC '95. Proceedings
  • Conference_Location
    Snowbird, UT
  • ISSN
    1068-0314
  • Print_ISBN
    0-8186-7012-6
  • Type

    conf

  • DOI
    10.1109/DCC.1995.515595
  • Filename
    515595