• DocumentCode
    2027779
  • Title

    An entropy-coded lattice vector quantizer for transform and subband image coding

  • Author

    Mohdyusof, Zulkalnain ; Fischer, Thomas R.

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., Washington State Univ., Pullman, WA, USA
  • Volume
    1
  • fYear
    1994
  • fDate
    13-16 Nov 1994
  • Firstpage
    603
  • Abstract
    A lattice-based vector quantizer (VQ) and noiseless code are proposed for transform and subband image coding. The quantization is simple to implement and no vector codebooks need be stored. The noiseless code enumerates lattice codevectors based on their (weighted) l1 norm. A software implementation is able to handle lattice codebooks of size 2256. The image coding performance is shown to be comparable or superior to the best encoding methods reported in the literature
  • Keywords
    entropy codes; image coding; lattice networks; transform coding; vector quantisation; entropy-coded lattice vector quantizer; lattice codevectors; lattice-based vector quantizer; noiseless code; performance; software implementation; subband image coding; transform image coding; Books; Decoding; Encoding; Image coding; Laplace equations; Lattices; Rate distortion theory; Redundancy; Transform coding; Vector quantization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 1994. Proceedings. ICIP-94., IEEE International Conference
  • Conference_Location
    Austin, TX
  • Print_ISBN
    0-8186-6952-7
  • Type

    conf

  • DOI
    10.1109/ICIP.1994.413385
  • Filename
    413385
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2027779