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  5. Unitary Algorithm for Nonseparable Linear Canonical Transforms Applied to Iterative Phase Retrieval
 
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Unitary Algorithm for Nonseparable Linear Canonical Transforms Applied to Iterative Phase Retrieval

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Author(s)
Zhao, Liang 
Sheridan, John T. 
Healy, John J. 
Uri
http://hdl.handle.net/10197/8713
Date Issued
20 March 2017
Date Available
14T12:04:48Z August 2017
Abstract
Abstract:Phase retrieval is an important tool with broad applications in optics. The GerchbergSaxton algorithm has been a workhorse in this area for many years. The algorithm extracts phase information from intensities captured in two planes related by a Fourier transform. The ability to capture the two intensities in domains other than the image and Fourier plains adds flexibility; various authors have extended the algorithm to extract phase from intensities captured in two planes related by other optical transforms, e.g., by free space propagation or a fractional Fourier transform. These generalizations are relatively simple once a unitary discrete transform is available to propagate back and forth between the two measurement planes. In the absence of such a unitary transform, errors accumulate quickly as the algorithm propagates back and forth between the two planes. Unitary transforms are available for many separable systems, but there has been limited work reported on nonseparable systems other than the gyrator transform. In this letter, we simulate a nonseparable system in a unitary way by choosing an advantageous sampling rate related to the system parameters. We demonstrate a simulation of phase retrieval from intensities in the image domain and a second domain related to the image domain by a nonseparable linear canonical transform. This work may permit the use of nonseparable systems in many design problems.
Sponsorship
Science Foundation Ireland
Other Sponsorship
Insight Research Centre
Type of Material
Journal Article
Publisher
IEEE
Journal
IEEE Signal Processing Letters
Volume
24
Issue
6
Start Page
814
End Page
817
Copyright (Published Version)
2017 IEEE
Keywords
  • Personal sensing

  • Linear canonical tran...

  • Phase retrieval

  • Fourier optics and si...

  • Image reconstruction ...

DOI
10.1109/LSP.2017.2684829
Language
English
Status of Item
Peer reviewed
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
Owning collection
Insight Research Collection
Scopus© citations
23
Acquisition Date
Jan 30, 2023
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