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Multiple-valued feedback neural networks for image restoration

We present a new type of Hopfield feedback network for image restoration, called the multiple-valued neural networks (MVFN). The main advantages of this model are that it can store patterns having different grey levels, and that it can store binary patterns with much less neurons than that of a Hopfield binary NN. We apply this new network for noise removal on two different images.