IEEE Trans Med Imaging. 1982;1(2):95-101. doi: 10.1109/TMI.1982.4307556.
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.
前文 Youla 和 Webb [1] 讨论的图像恢复理论被应用于模拟图像，其结果与著名的 Gerchberg-Papoulis 算法进行了比较。结果表明，通过凸集投影进行图像恢复的方法通过提供利用先验信息的便捷技术，性能明显优于 Gerchberg-Papoulis 方法。
