• DocumentCode
    1024143
  • Title

    Statistical modelling of the wavelet coefficients with different bases and decomposition levels

  • Author

    Lam, E.Y.

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Univ. of Hong Kong, China
  • Volume
    151
  • Issue
    3
  • fYear
    2004
  • fDate
    6/1/2004 12:00:00 AM
  • Firstpage
    203
  • Lastpage
    206
  • Abstract
    Various wavelet coefficient statistics are useful to increase the compression efficiency of images. The distribution of the wavelet coefficients within a sub-band affects how the decompression values should be adjusted. A generalised Gaussian distribution model is seen to be applicable from a theoretical point of view, and a convenient way is provided to estimate the parameters from the empirical data. This knowledge is applied to examine the best statistical modelling of the wavelet coefficients for different wavelet bases and decomposition levels.
  • Keywords
    Gaussian distribution; data compression; image coding; parameter estimation; statistical analysis; wavelet transforms; generalised Gaussian distribution model; image compression; parameter estimation; statistical modelling; wavelet coefficient statistics;
  • fLanguage
    English
  • Journal_Title
    Vision, Image and Signal Processing, IEE Proceedings -
  • Publisher
    iet
  • ISSN
    1350-245X
  • Type

    jour

  • DOI
    10.1049/ip-vis:20040398
  • Filename
    1309762