Image restoration using cellular neural network

Abstract

A 3D cellular neural network is applied to the restoration of noisy and blurry images. Contrary to similar solutions offered using a discrete-time Hopfield network, only eight cells are used for each pixel diminishing the network size. Moreover, the presented image restoration scheme does not have a convergence problem which is inherent in discrete-time Hopfield network solutions.