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
Link To Document :
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