Image Restoration by the Method of Convex Projections: Part 2-Applications and Numerical Results
M. Ibrahim Sezan, Hannes Stark · IEEE Transactions on Medical Imaging · 1982
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.