Sparse phase retrieval from noisy data: variational formulation and algorithms

Vladimir Katkovnik

doi:10.1364/3D.2016.JT3A.42

Imaging and Applied Optics 2016
OSA Technical Digest (online) (Optica Publishing Group, 2016),
paper JT3A.42
•https://doi.org/10.1364/3D.2016.JT3A.42

Sparse phase retrieval from noisy data: variational formulation and algorithms

Vladimir Katkovnik

3D Image Acquisition and Display: Technology, Perception and Applications 2016

Heidelberg Germany
25–28 July 2016
ISBN: 978-1-943580-15-6

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V. Katkovnik, "Sparse phase retrieval from noisy data: variational formulation and algorithms," in Imaging and Applied Optics 2016, OSA Technical Digest (online) (Optica Publishing Group, 2016), paper JT3A.42.

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Abstract

A variational approach to wavefront reconstruction from multiple noisy Pois-sonian intensity observations is developed. Sparse modeling of amplitude and absolute phase of the object is one of the key elements of the derived algorithm.

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