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The image restoration theory discussed in a previous paper by Youla and Webb 1 is applied to a simulated image and the results compared with the well-known method known as the Gerchberg-Papoulis algorithm. The results show that the method of image restoration by projection onto convex sets, by providing a convenient technique for utilizing a priori information, performs significantly better than the Gerchberg-Papoulis method.
Sezan et al. (Fri,) studied this question.