Cellular neural network as a non-linear filter of impulse noise

Feedforward discrete-time cellular neural network for filtering of impulse noise from two-dimensional (image) signals is represented. The parameters of mathematical filter model result from approximation problem solution in mean-square norm. It is shown that the cellular neural network surpasses median filter, Volterra filter and perceptron neural network in accuracy of image restoration and in simplicity of filter implementation.