Title :
Statistical modelling of the wavelet coefficients with different bases and decomposition levels
Author_Institution :
Dept. of Electr. & Electron. Eng., Univ. of Hong Kong, China
fDate :
6/1/2004 12:00:00 AM
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;
Journal_Title :
Vision, Image and Signal Processing, IEE Proceedings -
DOI :
10.1049/ip-vis:20040398