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Conference Paper: Spiral phase modulation based deep learning for autofocusing

TitleSpiral phase modulation based deep learning for autofocusing
Authors
Issue Date11-Jul-2022
Abstract

We demonstrate the use of spiral phase modulation in preprocessing defocused image before feeding into deep learning model for autofocusing. Average predict error is shown to outperform previously published works on an open dataset.


Persistent Identifierhttp://hdl.handle.net/10722/333826

 

DC FieldValueLanguage
dc.contributor.authorZhang, Zezheng-
dc.contributor.authorChan, Ryan K Y-
dc.contributor.authorWong, Kenneth K Y-
dc.date.accessioned2023-10-06T08:39:24Z-
dc.date.available2023-10-06T08:39:24Z-
dc.date.issued2022-07-11-
dc.identifier.urihttp://hdl.handle.net/10722/333826-
dc.description.abstract<p>We demonstrate the use of spiral phase modulation in preprocessing defocused image before feeding into deep learning model for autofocusing. Average predict error is shown to outperform previously published works on an open dataset.<br></p>-
dc.languageeng-
dc.relation.ispartofConference on Lasers and Electro-Optics - CLEO2022 (15/05/2022-20/05/2022, San Jose)-
dc.titleSpiral phase modulation based deep learning for autofocusing-
dc.typeConference_Paper-
dc.identifier.doi10.1364/CLEO_AT.2022.JW3B.7-
dc.identifier.volume30-

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