An adaptive algorithm for phase retrieval from high intensity images

Abstract

In this paper, we present an adaptive Gerchberg-Saxton algorithm for phase retrieval. One of the drawbacks of the original Gerchberg-Saxton algorithm is the poor results it yields for very bright images. In this paper we demonstrate how a dynamic phase retrieval approach can improve the correlation between the required image and the reconstructed image by up to 10 percent. The paper gives explicit explanations to the principle behind the algorithm and shows experimental results to support the dynamic approach.