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Conference Paper: Edge-preserving autofocusing in digital holography

TitleEdge-preserving autofocusing in digital holography
Authors
Issue Date2017
PublisherOptical Society of America.
Citation
Digital Holography and Three-Dimensional Imaging Conference, JeJu Island, South Korea, 29 May–1 June 2017, p. W2A.29 How to Cite?
AbstractIn digital holography, it is essential to know the axial position of the recorded object for reconstruction. Here we propose an autofocusing algorithm using structure tensor to determine the focal distance and to extract the edge information.
Persistent Identifierhttp://hdl.handle.net/10722/245531
ISBN

 

DC FieldValueLanguage
dc.contributor.authorRen, Z-
dc.contributor.authorLam, EYM-
dc.date.accessioned2017-09-18T02:12:21Z-
dc.date.available2017-09-18T02:12:21Z-
dc.date.issued2017-
dc.identifier.citationDigital Holography and Three-Dimensional Imaging Conference, JeJu Island, South Korea, 29 May–1 June 2017, p. W2A.29-
dc.identifier.isbn978-1-943580-28-6-
dc.identifier.urihttp://hdl.handle.net/10722/245531-
dc.description.abstractIn digital holography, it is essential to know the axial position of the recorded object for reconstruction. Here we propose an autofocusing algorithm using structure tensor to determine the focal distance and to extract the edge information.-
dc.languageeng-
dc.publisherOptical Society of America.-
dc.relation.ispartofDigital Holography and Three-Dimensional Imaging-
dc.rightsDigital Holography and Three-Dimensional Imaging. Copyright © Optical Society of America.-
dc.titleEdge-preserving autofocusing in digital holography-
dc.typeConference_Paper-
dc.identifier.emailLam, EYM: elam@eee.hku.hk-
dc.identifier.authorityLam, EYM=rp00131-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1364/DH.2017.W2A.29-
dc.identifier.hkuros277491-
dc.identifier.spageW2A.29-
dc.identifier.epageW2A.29-
dc.publisher.placeJeJu Island, South Korea-

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