RADIOPHYSICAL IMAGE PROCESSING PRINCIPLES BASED ON THE ALGORITHM OF NON-QUADRATIC REGULARIZATION
Abstract
Problem of radiophysical image processing on the basis of nonquadratic regularization algorithms is considered with the purpose of additive noise suppression and blurred images of finite objects restoration. Basic criteria for problem solution are formulated in the case of piecewise-constant images utilizing method of minimum of duration. Effectiveness of proposed approach is validated through numerical simulations and experimental data processing, consisting of satellite images of earth surface and radiophysical images of finite objects.
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Copyright (c) 2014 O. S. Antropov, O. O. Drobakhin
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