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Low-photon holographic phase retrieval with Poisson-Gaussian denoising

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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.

© 2022 The Author(s)

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More Like This
Low-Photon Holographic Phase Retrieval via a Deep Decoder Neural Network

Hannah Lawrence, David A. Barmherzig, Michael Eickenberg, and Marylou Gabrie
JTu5A.19 Applied Industrial Spectroscopy (AIS) 2021

Low-Photon Holographie Phase Retrieval

David A. Barmherzig and Ju Sun
JTu4A.6 Computational Optical Sensing and Imaging (COSI) 2020

Improving accuracy of phase retrieval with mixed Poisson-Gaussian noise using the generalized Anscombe transform

Joseph S. Tang and James R. Fienup
CF2C.4 Computational Optical Sensing and Imaging (COSI) 2020

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