Algorithme adaptatif de restauration d'images par les méthodes connexionnistes

Abstract

The analysis of brain operations allows us to build a computational model of an artificial neural network, able to restore gray level images degraded by a shiftinvariant blur function and additive noise. Our approach for restoration is carried out using a dynamic algorithm which minimizes an energy function. We show that it is not necessary to know the blur filter.