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Filtration and Restoration of Satellite Images Using Doubly Stochastic Random Fields

The paper is devoted to filtering algorithms of satellite images. Inadvisability of applying the simplest mathematical models of random fields with non-uniform filtering material is shown. We consider the comparative analysis of effectiveness of the filtering and calculate the gain of the proposed algorithm. In addition, we have sufficient by adequate enough satellite image restore when applying doubly stochastic models. Restoration algorithm that can easily be implemented from different positions of the image is described. Dispersion values for recovery errors were found under using different models. We also have received the gain in image restoration by providing adequate description of satellite images unlike in application of autoregression (AR) models.