• DocumentCode
    2617159
  • Title

    Efficient indexing method for lattice quantization applications

  • Author

    Moureau, J.M. ; Loyer, P. ; Antonini, M.

  • Author_Institution
    CRAN-CNRS, Univ. Henri Poincare, Nancy, France
  • Volume
    3
  • fYear
    1996
  • fDate
    16-19 Sep 1996
  • Firstpage
    447
  • Abstract
    Indexing the codevectors is a key problem in lattice quantization applications. We propose a method based on the idea of a coding table encompassing a set of points chosen as small as possible and called the fundamental region. Our method works for both spherical and pyramidal codebooks. It provides a good tradeoff between computational complexity and storage requirements. Finally, it improves of 3 dB on the signal-to-noise ratio of the LBG algorithm at a given memory cost
  • Keywords
    computational complexity; decoding; encoding; vector quantisation; LBG algorithm; SNR; codevectors indexing; coding table; computational complexity; decoding; fundamental region; indexing method; lattice quantization; memory cost; pyramidal codebooks; signal-to-noise ratio; spherical codebooks; storage requirements; vector quantization; Bit rate; Books; Computational complexity; Costs; Decoding; Indexing; Lattices; Rate-distortion; Shape; Vector quantization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 1996. Proceedings., International Conference on
  • Conference_Location
    Lausanne
  • Print_ISBN
    0-7803-3259-8
  • Type

    conf

  • DOI
    10.1109/ICIP.1996.560527
  • Filename
    560527