• DocumentCode
    1289836
  • Title

    Vector quantization using the L/sub /spl infin// distortion measure

  • Author

    Mathews, V.John ; Hahn, Peter J.

  • Author_Institution
    Dept. of Electr. Eng., Utah Univ., Salt Lake City, UT, USA
  • Volume
    4
  • Issue
    2
  • fYear
    1997
  • Firstpage
    33
  • Lastpage
    35
  • Abstract
    This paper considers vector quantization of signals using the L/sub /spl infin// distortion measure. The key contribution is a result that allows one to characterize the centroid of a set of vectors for the L/sub /spl infin// distortion measure. A method similar to the Linde-Buzo-Gray (LBG) algorithm for designing codebooks has been developed and tested. The paper also discusses the design of vector quantizers employing the L/sub /spl infin// distortion measure in an application in which the occurrences of quantization errors with larger magnitudes than a preselected threshold must be minimized.
  • Keywords
    image coding; vector quantisation; L/sub /spl infin// distortion measure; Linde-Buzo-Gray algorithm; centroid; codebook design; image compression; quantization errors minimisation; signal compression; vector quantization; Algorithm design and analysis; Distortion measurement; H infinity control; Humans; Image coding; Image processing; NASA; Nearest neighbor searches; Testing; Vector quantization;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9908
  • Type

    jour

  • DOI
    10.1109/97.554465
  • Filename
    554465