Super-Resolution Phase Retrieval Algorithm using a Smoothing Function

Jorge Bacca; Samuel Pinilla; Daniel Molina; Ariolfo Camacho; Henry Arguello

doi:10.1364/MATH.2018.MW2D.3

Imaging and Applied Optics 2018 (3D, AO, AIO, COSI, DH, IS, LACSEA, LS&C, MATH, pcAOP)
OSA Technical Digest (Optica Publishing Group, 2018),
paper MW2D.3
•https://doi.org/10.1364/MATH.2018.MW2D.3

Super-Resolution Phase Retrieval Algorithm using a Smoothing Function

Jorge Bacca, Samuel Pinilla, Daniel Molina, Ariolfo Camacho, and Henry Arguello

Mathematics in Imaging 2018

Orlando, Florida United States
25–28 June 2018
ISBN: 978-1-943580-44-6

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Sparsity Based Priors (MW2D)

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J. Bacca, S. Pinilla, D. Molina, A. Camacho, and H. Arguello, "Super-Resolution Phase Retrieval Algorithm using a Smoothing Function," in Imaging and Applied Optics 2018 (3D, AO, AIO, COSI, DH, IS, LACSEA, LS&C, MATH, pcAOP), OSA Technical Digest (Optica Publishing Group, 2018), paper MW2D.3.

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Abstract

This paper presents a super-resolution phase retrieval algorithm which solves a smoothing optimization problem, allowing to obtain a high resolution signal from low-resolution measurements.

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