Objects of high orders in restoration of images

Abstract

This paper deals with the process of transformation of groups of defective objects in order to restore their true images. The processors created on basis of objects of higher order in comparison to restored ones, appear to be naturally adapted to restored objects and allow to use wide arsenal of mathematical and technical tools among which the most effective are the neural networks.