• DocumentCode
    3584611
  • Title

    Scalable image coding using Gaussian pyramid vector quantisation with resolution-independent block size

  • Author

    Cieplinski, Leszek ; Bober, Miroslaw

  • Author_Institution
    Dept. of Electron. & Electr. Eng., Surrey Univ., Guildford, UK
  • Volume
    4
  • fYear
    1997
  • Firstpage
    2949
  • Abstract
    We present a new approach to multiresolution vector quantisation. Its main advantage is exploitation of long-range correlations in the image by keeping the vector size constant, independent of the image scale. We also developed a variable block-rate version of the algorithm, which allows better utilisation of the available bit budget by refining only those areas of the image which are not efficiently approximated by lower resolutions of the pyramid
  • Keywords
    Gaussian processes; correlation methods; image coding; image resolution; vector quantisation; Gaussian pyramid vector quantisation; bit budget; image areas; image resolution; image scale; long range correlations; resolution independent block size; scalable image coding; variable block rate algorithm; vector size constant; Biomedical imaging; Bit rate; Computational complexity; Energy resolution; Humans; Image coding; Image resolution; Spatial resolution; Vector quantization; Visual system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 1997. ICASSP-97., 1997 IEEE International Conference on
  • ISSN
    1520-6149
  • Print_ISBN
    0-8186-7919-0
  • Type

    conf

  • DOI
    10.1109/ICASSP.1997.595408
  • Filename
    595408