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.
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