• DocumentCode
    3006975
  • Title

    Vector quantization in transformed image coding

  • Author

    Marescq, J.P. ; Labit, C.

  • Author_Institution
    IRISA/Centre INRIA de Rennes, Rennes Cedex, France
  • Volume
    11
  • fYear
    1986
  • fDate
    31503
  • Firstpage
    145
  • Lastpage
    148
  • Abstract
    This paper describes a new method which combines vector quantization (VQ) and orthogonal transform coding schemes. The use of these two techniques in image coding allows efficient bit-rate reduction (about 8-10) with an original-like reconstruction quality and easy introduction of visual properties both in classification procedure and codebook design. Recent work, including classification algorithm and transformed coefficients coding is presented. Then, image sequence coding using VQ is discussed and some strategies for codebook refreshment are proposed.
  • Keywords
    Classification algorithms; Classification tree analysis; Clustering algorithms; Decision trees; Image coding; Image sampling; Sampling methods; Transform coding; Vector quantization; Visual perception;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '86.
  • Type

    conf

  • DOI
    10.1109/ICASSP.1986.1169097
  • Filename
    1169097