Title :
Distribution shape of two-dimensional DCT coefficients of natural images
Author_Institution :
Inst. for Commun. Eng., Aachen Univ. of Technol., Germany
Abstract :
The univariate distribution of DCT coefficients of natural images is investigated. The probability density function (PDF) of the coefficients is modelled with the generalised Gaussian function (GGF) which includes the Gaussian and the Laplacian PDF as special cases. The shape parameter of the GGF is estimated according to the maximum likelihood principle. chi 2 tests of fit showed that GGFs model the distribution of DCT coefficients more accurately than Laplacian PDFs.
Keywords :
discrete cosine transforms; image coding; maximum likelihood estimation; probability; 2D type; Gaussian PDF; Laplacian PDF; PDF; distribution shape; generalised Gaussian function; maximum likelihood principle; natural images; probability density function; two-dimensional DCT coefficients; univariate distribution;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:19931288
