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