PRINCIPLES OF PROCESSING RADIOPHYSICAL IMAGES BASED ON NON QUADRATIC REGULARIZATION ALGORITHMS

Problem of radiophysical images processing on the basis of nonquadratic regularization algorithms with the purpose of additive noise suppression and restoration of blurred images of finite objects is considered. Basic criteria for problem solution are formulated for the case of piecewise-constant images using method of minimum of duration. Effectiveness of proposed approach is verified by means of through numerical simulations and experimental processing of data represented by satellite images of Earth surface and radiophysical images of finite objects.