• DocumentCode
    3158066
  • Title

    Fast multi-stage VQ search for the BTC-VQ algorithm

  • Author

    Weitzman, Avi ; Mitchell, H.B.

  • Author_Institution
    Ben Gurion Univ. of the Negev, Beer Sheva, Israel
  • fYear
    1991
  • fDate
    5-7 Mar 1991
  • Firstpage
    182
  • Lastpage
    185
  • Abstract
    Block truncation coding (BTC) is a simple fast image compression algorithm with a low compression rate of 2 bits-pel. Vector quantization of the BTC outputs can reduce the bit-rate to 1 bit/pel but then the computating time becomes very large. This paper describes a multi-stage VQ algorithm which substantially reduces the time required
  • Keywords
    block codes; computational complexity; image coding; search problems; vector quantisation; block truncation coding; computating time; fast image compression; multi-stage VQ algorithm; search; Books; Electronics industry; Image coding; Image reconstruction; Iterative algorithms; Pixel; Vector quantization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Electronics Engineers in Israel, 1991. Proceedings., 17th Convention of
  • Conference_Location
    Tel Aviv
  • Print_ISBN
    0-87942-678-0
  • Type

    conf

  • DOI
    10.1109/EEIS.1991.217668
  • Filename
    217668
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3158066