Removal of algorithmic stagnation by augmented iterative phase retrieval

Fatima, A. and Faccio, D. (2024) Removal of algorithmic stagnation by augmented iterative phase retrieval. Optics Express, 32(9), pp. 16016-16026. (doi: 10.1364/OE.520066)

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Abstract

Retrieving the phase of an optical field using intensity measurements is one of the most widespread and studied inverse problems in classical optics. However, common iterative approaches such as the Gerchberg-Saxton algorithm and its derivatives suffer from the twin-image problem – the iterative minimisation stagnates and the recovered field contains features from both the target field and its point-reflection. We present a technique that leverages mathematical properties of the stagnated field, to constrain the problem and remove the twin image artefacts. This improvement in reconstruction robustness has implications in a range of fields, including applications in adaptive optics, holography and optical communications.

Item Type:Articles
Additional Information:Funding. The authors acknowledge financial support from the Royal Academy of Engineering under the Chairs in Emerging Technology and the U.K. Engineering and Physical Sciences Research Council (Grants No. EP/T002123/1,EP/T00097X/1, EP/Y029097/1).
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Faccio, Professor Daniele and Fatima, Dr Areeba
Authors: Fatima, A., and Faccio, D.
College/School:College of Science and Engineering > School of Physics and Astronomy
Journal Name:Optics Express
Publisher:Optica Publishing Group
ISSN:1094-4087
ISSN (Online):1094-4087
Copyright Holders:Copyright: Journal © 2024
First Published:First published in Optics Express 32(9): 16016-16026
Publisher Policy:Reproduced under a Creative Commons licence

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