• DocumentCode
    1461635
  • Title

    Image vector quantization with minimax L/sub /spl infin// distortion

  • Author

    Zhu, Ce ; Hua, Yingbo

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Melbourne Univ., Parkville, Vic., Australia
  • Volume
    6
  • Issue
    2
  • fYear
    1999
  • Firstpage
    25
  • Lastpage
    27
  • Abstract
    A new framework of vector quantization that minimizes maximal L/sub /spl infin// distortion is introduced. Based on the concept of minimax L/sub /spl infin// distortion, a new centroid rule and a new codebook design method are developed. The problem of minimizing the number of occurrences of quantization errors larger than a preselected threshold is also investigated. Compared to the methods that minimize an averaged L/sub /spl infin// distortion recently proposed by Mathews et al. (1997), the new methods with minimax L/sub /spl infin// distortion achieve more desirable results.
  • Keywords
    image coding; minimax techniques; vector quantisation; centroid rule; codebook design method; image compression; minimax L/sub /spl infin// distortion; quantization errors; vector quantization; Australia; Design methodology; Distortion measurement; H infinity control; Information processing; Minimax techniques; Pixel; Signal processing; Vector quantization; Video coding;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9908
  • Type

    jour

  • DOI
    10.1109/97.739002
  • Filename
    739002