ON WAVELET DENOISING OF A DIGITAL IMAGE OF TERRESTRIAL SURFACE
The article reviews Wavelet denoising of the digital image got from the satellite of the site of the Potomac River region (USA). Theoretical bases of orthogonal wavelet decomposition of a digital image on two-dimensional scaling functions and two-dimensional wavelets, bases of wavelet-filtration are given. Programs of the Wavelet Toolbox built into the MATLAB system are used for filtering. Such filtering regimes as simple Wavelet decomposition with subsequent filtration; filtering under the assumption that the additive image noise is a stationary random process; filtering for Packet Wavelet decomposition are considered. Wavelets daubechies, Haar, Simlets, Coiflets with different orders are applied. different levels of Wavelet decomposition are considered. The filtration results are analyzed visually from the filtered images and the statistical characteristics of the allocated noise.