• DocumentCode
    3430890
  • Title

    Adaptive vector quantization using generalized threshold replenishment

  • Author

    Fowler, James E. ; Ahalt, Stanley C.

  • Author_Institution
    Dept. of Electr. Eng., Ohio State Univ., Columbus, OH, USA
  • fYear
    1997
  • fDate
    25-27 Mar 1997
  • Firstpage
    317
  • Lastpage
    326
  • Abstract
    In this paper, we describe a new adaptive vector quantization (AVQ) algorithm designed for the coding of nonstationary sources. This new algorithm, generalized threshold replenishment (GTR), differs from prior AVQ algorithms in that it features an explicit, online consideration of both rate and distortion. Rate-distortion cost criteria are used in both the determination of nearest-neighbor codewords and the decision to update the codebook. Results presented indicate that, for the coding of an image sequence, (1) most AVQ algorithms achieve distortion much lower than that of nonadaptive VQ for the same rate (about 1.5 bits/pixel), and (2) the GTR algorithm achieves rate-distortion performance substantially superior to that of the prior AVQ algorithms for low-rate coding, being the only algorithm to achieve a rate below 1.0 bits/pixel
  • Keywords
    adaptive codes; image coding; image sequences; rate distortion theory; source coding; vector quantisation; AVQ algorithm; adaptive vector quantization; codebook; generalized threshold replenishment; image sequence coding; low-rate coding; nearest-neighbor codewords; nonstationary sources; rate-distortion cost criteria; Algorithm design and analysis; Costs; Image coding; Image sequences; Iterative algorithms; Pixel; Rate distortion theory; Rate-distortion; Statistics; Vector quantization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Compression Conference, 1997. DCC '97. Proceedings
  • Conference_Location
    Snowbird, UT
  • ISSN
    1068-0314
  • Print_ISBN
    0-8186-7761-9
  • Type

    conf

  • DOI
    10.1109/DCC.1997.582055
  • Filename
    582055