• DocumentCode
    1214050
  • Title

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

  • Author

    Mohd-Yusof, Zulkalnain ; Fischer, Thomas R.

  • Author_Institution
    School of Electr. Eng. & Comput. Sci., Washington State Univ., Pullman, WA, USA
  • Volume
    5
  • Issue
    2
  • fYear
    1996
  • fDate
    2/1/1996 12:00:00 AM
  • Firstpage
    289
  • Lastpage
    298
  • 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 to 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; transform coding; vector quantisation; codebook size; entropy coded lattice vector quantizer; image coding performance; lattice codevectors; noiseless code; software implementation; subband image coding; transform image coding; Books; Entropy coding; Frequency measurement; Humans; Image coding; Lattices; Quantization; Redundancy; Senior members; Transform coding;
  • fLanguage
    English
  • Journal_Title
    Image Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1057-7149
  • Type

    jour

  • DOI
    10.1109/83.480764
  • Filename
    480764
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1214050