• DocumentCode
    284964
  • Title

    A pyramidal scheme for lattice vector quantization of wavelet transform coefficients applied to image coding

  • Author

    Barlaud, Michel ; Solé, Patrick ; Antonini, Marc ; Mathieu, Pierre

  • Author_Institution
    CNRS, Valbonne, France
  • Volume
    4
  • fYear
    1992
  • fDate
    23-26 Mar 1992
  • Firstpage
    401
  • Abstract
    The image coding scheme involves two steps: biorthogonal wavelet transform of the image and pyramidal lattice vector quantization of wavelet coefficients. In order to obtain a compromise between minimum distortion and bit rate, one must truncate and scale the lattice suitably. To meet this goal, one needs to know how many lattice points lie within the truncated area. The case of Laplacian sources where surfaces of equal probability are spheres for the L1 metric (pyramids) for arbitrary lattices is investigated. Explicit generating functions for the codebook sizes of the most useful lattices are given
  • Keywords
    image coding; vector quantisation; wavelet transforms; Laplacian sources; biorthogonal wavelet transform; bit rate; codebook sizes; generating functions; image coding; minimum distortion; pyramidal lattice vector quantization; wavelet transform coefficients; Image coding; Lattices; Low pass filters; Multiresolution analysis; Polynomials; Quantum computing; Vector quantization; Wavelet analysis; Wavelet coefficients; Wavelet transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 1992. ICASSP-92., 1992 IEEE International Conference on
  • Conference_Location
    San Francisco, CA
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-0532-9
  • Type

    conf

  • DOI
    10.1109/ICASSP.1992.226351
  • Filename
    226351