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Article: Iterative phase retrieval with a sensor mask
Title | Iterative phase retrieval with a sensor mask |
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Authors | |
Issue Date | 1-Jul-2022 |
Publisher | Optica |
Citation | Optics Express, 2022, v. 30, n. 14, p. 25788-25802 How to Cite? |
Abstract | As an important inverse imaging problem in diffraction optics, Fourier phase retrieval aims at estimating the latent image of the target object only from the magnitude of its Fourier measurement. Although in real applications alternating methods are widely-used for Fourier phase retrieval considering the constraints in the object and Fourier domains, they need a lot of initial guesses and iterations to achieve reasonable results. In this paper, we show that a proper sensor mask directly attached to the Fourier magnitude can improve the efficiency of the iterative phase retrieval algorithms, such as alternating direction method of multipliers (ADMM). Furthermore, we refer to the learning-based method to determine the sensor mask according to the Fourier measurement, and unrolled ADMM is used for phase retrieval. Numerical results show that our method outperforms other existing methods for the Fourier phase retrieval problem. |
Persistent Identifier | http://hdl.handle.net/10722/329115 |
ISSN | 2023 Impact Factor: 3.2 2023 SCImago Journal Rankings: 0.998 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Song, Li | - |
dc.contributor.author | Lam, Edmund Yin Mun | - |
dc.date.accessioned | 2023-08-05T07:55:24Z | - |
dc.date.available | 2023-08-05T07:55:24Z | - |
dc.date.issued | 2022-07-01 | - |
dc.identifier.citation | Optics Express, 2022, v. 30, n. 14, p. 25788-25802 | - |
dc.identifier.issn | 1094-4087 | - |
dc.identifier.uri | http://hdl.handle.net/10722/329115 | - |
dc.description.abstract | <p>As an important inverse imaging problem in diffraction optics, Fourier phase retrieval aims at estimating the latent image of the target object only from the magnitude of its Fourier measurement. Although in real applications alternating methods are widely-used for Fourier phase retrieval considering the constraints in the object and Fourier domains, they need a lot of initial guesses and iterations to achieve reasonable results. In this paper, we show that a proper sensor mask directly attached to the Fourier magnitude can improve the efficiency of the iterative phase retrieval algorithms, such as alternating direction method of multipliers (ADMM). Furthermore, we refer to the learning-based method to determine the sensor mask according to the Fourier measurement, and unrolled ADMM is used for phase retrieval. Numerical results show that our method outperforms other existing methods for the Fourier phase retrieval problem.</p> | - |
dc.language | eng | - |
dc.publisher | Optica | - |
dc.relation.ispartof | Optics Express | - |
dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
dc.title | Iterative phase retrieval with a sensor mask | - |
dc.type | Article | - |
dc.identifier.doi | 10.1364/OE.461367 | - |
dc.identifier.scopus | eid_2-s2.0-85135064355 | - |
dc.identifier.volume | 30 | - |
dc.identifier.issue | 14 | - |
dc.identifier.spage | 25788 | - |
dc.identifier.epage | 25802 | - |
dc.identifier.eissn | 1094-4087 | - |
dc.identifier.isi | WOS:000821326000124 | - |
dc.identifier.issnl | 1094-4087 | - |