Author:
Barmherzig David A.,Eickenberg Michael
Abstract
A practical algorithm is presented for low-photon holographic phase retrieval given measurements corrupted by Poisson-Gaussian noise. This framework utilizes a maximum likelihood estimation method which can be enhanced via a deep decoder neural network.