Neuron Network and Hierarchical Approximation in Image Filtration Tasks

V.V. Sergeyev, V.N. Kopenkov, and A.V. Chernov (Russia)


Approximation, image filtration, neural networks andhierarchical approximation.


Two different nonlinear approximation methods of multivariate regression (neural networks and hierarchical approximation) in the task of image filtration on the base of the a priori information in the form of a matched pair of images ("ideal" + "deformed") are considered in this paper. Comparison of efficiency of the described approximation methods is presented.

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