• DocumentCode
    879885
  • Title

    Fast lattice-based gain-shape vector quantisation for image-sequence coding

  • Author

    Sampson, D. ; Ghanbari, M.

  • Author_Institution
    Dept. of Electron. Syst. Eng., Essex Univ., Colchester, UK
  • Volume
    140
  • Issue
    1
  • fYear
    1993
  • Firstpage
    56
  • Lastpage
    66
  • Abstract
    A fast lattice-based gain/shape vector-quantisation method (FLGSVQ) is presented. The proposed technique combines the basic ideas of gain/shape vector quantisation (GSVQ) with lattice codes to offer an encoding process which is extremely fast compared with the conventional GSVQ. A simple single-/two-stage coding system based on lattice quantisation is tested for interframe predictive coding of image sequences. Simulation results are provided to compare the performance of the proposed method with the conventional LBG-designed vector quantisation. These results, along with subjective evaluations, clearly demonstrate that lattice quantisation can be competitive with vector quantisation in terms of signal-to-noise performance, only at a very small fraction (4%) of the vector-quantiser complexity.<>
  • Keywords
    image coding; image sequences; vector quantisation; FLGSVQ; fast lattice-based gain/shape vector-quantisation method; image-sequence coding; interframe predictive coding; lattice codes; lattice quantisation; signal-to-noise performance; single-stage coding system; two-stage coding system;
  • fLanguage
    English
  • Journal_Title
    Communications, Speech and Vision, IEE Proceedings I
  • Publisher
    iet
  • ISSN
    0956-3776
  • Type

    jour

  • Filename
    207491