STATISTICS OF STRUCTURAL CHANGES OF IMAGES ON THE BASIS OF SPECTRAL AND CORRELATION ANALYSIS FIELDS
This paper deals with pixel and spectral detection algorithms of structural differences of images. Experimental characteristic of algorithms are given and compared. Analytical approximations of allocation of pixel and spectral statistics describing structural differences under Quasi-Gaussian and impulse noise are obtained. Comparison of empirical histograms and their theoretical approximations enabled to select gamma and beta distribution to set probability laws of spectral and pixel statistics. In the presence of impulsive noise distributions have a δ-shaped component.