Estimation of shape parameter for generalized Gaussian distributions in subband decompositions of video

Authors:
K. Sharifi;A. Leon-Garcia
Affiliations:
Dept. of Electr. & Comput. Eng., Toronto Univ., Ont.;-
Venue:
IEEE Transactions on Circuits and Systems for Video Technology
Year:
1995

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Abstract

A subband decomposition scheme for video signals, in which the original or difference frames are each decomposed into 16 equal-size frequency subbands, is considered. Westerink et al. (1991) have shown that the distribution of the sample values in each subband can be modeled with a “generalized Gaussian” probability density function (PDF) where three parameters, mean, variance, and shape are required to uniquely determine the PDF. To estimate the shape parameter, a series of statistical goodness-of-fit tests such as Kolmogorov-Smirnov or chi-squared tests have been used. A simple alternative method to estimate the shape parameter for the generalized Gaussian PDF is proposed that significantly reduces the number of computations by eliminating the need for any statistical goodness-of-fit test