• DocumentCode
    2032014
  • Title

    Improvements on stochastic vector quantization of images

  • Author

    Torres, L. ; Salillas, J.

  • Author_Institution
    ETSIT-U Univ. Politecnica de Catalunya, Barcelona, Spain
  • Volume
    5
  • fYear
    1993
  • fDate
    27-30 April 1993
  • Firstpage
    237
  • Abstract
    A novel nonadaptive fixed-rate vector quantizer encoding scheme is presented, and preliminary results are shown. The design of the codebook has been based on a stochastic approach in order to match a previously defined model for the image to be encoded. Following this approach, the generation of the codebook is made extremely simple in terms of computational load. Good visual results are shown in the range of 0.5-0.8 bit/pixel. Much better performance is expected for adaptive schemes.<>
  • Keywords
    computational complexity; image coding; stochastic processes; vector quantisation; codebook; computational load; images; nonadaptive fixed-rate vector quantizer; performance; stochastic vector quantization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 1993. ICASSP-93., 1993 IEEE International Conference on
  • Conference_Location
    Minneapolis, MN, USA
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-7402-9
  • Type

    conf

  • DOI
    10.1109/ICASSP.1993.319791
  • Filename
    319791