• DocumentCode
    1594918
  • Title

    Vector quantization with minimax L distortion for image coding

  • Author

    Zhu, Ce ; Hua, Yingbo

  • Author_Institution
    Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore
  • Volume
    1
  • fYear
    1999
  • fDate
    6/21/1905 12:00:00 AM
  • Firstpage
    487
  • Abstract
    A technique for vector quantization which minimizes a maximal L distortion is introduced in this paper. A centroid rule is obtained and a codebook design method is developed. The problem of minimizing the number of occurrences of quantization errors larger than a preselected threshold is further investigated. Compared to the methods that minimize an averaged L distortion recently proposed by Mathews et al., the new approaches that minimize the maximal L distortion achieve more desirable results
  • Keywords
    data compression; image coding; vector quantisation; centroid rule; codebook design method; image coding; minimax L distortion; preselected threshold; quantization errors; vector quantization; Algorithm design and analysis; Current measurement; Equations; Iterative algorithms; Iterative methods; Minimax techniques; Partitioning algorithms; Pixel; Signal processing algorithms; Vector quantization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 1999. ICIP 99. Proceedings. 1999 International Conference on
  • Conference_Location
    Kobe
  • Print_ISBN
    0-7803-5467-2
  • Type

    conf

  • DOI
    10.1109/ICIP.1999.821672
  • Filename
    821672