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Restoration of images degraded by space-variant distortion using a neural network

This paper introduces a neural network algorithm to the restoration of images suffering a known form of space-variant distortion. Using multiple weighting matrices to represent space-variance, the algorithm provides high quality restorations. The algorithm will also be shown to be very computationally inexpensive due to the ability to minimise the neural network's energy in the most efficient manner.