Low-Photon Holographic Phase Retrieval [conference paper]
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Conference

OSA Imaging and Applied Optics Congress - June 22-26, 2020

Authors

David A. Barmherzig, Ju Sun (assistant professor)

Abstract

A novel optimization formulation is provided for holographic phase retrieval with data subjected to Poisson shot noise in the low-photon regime. This formulation, based on regularized maximum likelihood estimation, consistently provides improved image reconstruction.

Link to full paper

Low-Photon Holographic Phase Retrieval

Keywords

machine learning, phase retrieval

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