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Conference Paper: Total variation based image restoration of three dimensional microscopic objects

TitleTotal variation based image restoration of three dimensional microscopic objects
Authors
KeywordsComputers
Issue Date1996
PublisherIEEE.
Citation
IEEE Region 10 Digital Signal Processing Applications Proceedings, Perth, Western Australia, 26-29 November 1996, v. 1, p. 288-293 How to Cite?
AbstractThe inverse problem involving the determination of a three-dimensional biological structure from images obtained by means of optical-sectioning microscopy is ill-posed. Regularization methods must often be used in order to obtain a reasonable solution. Recently, the total variation (TV) regularization, as proposed by Rudin, Osher and Fatemi (1992), has become very popular for this purpose. An iterative algorithm is used for minimizing a TV-penalized least squares problems. We also employ transform based methods for solving large linear subproblems arising from TV-penalized least squares problems. Preliminary numerical results show that the method performs quite well.
Persistent Identifierhttp://hdl.handle.net/10722/46601
ISSN

 

DC FieldValueLanguage
dc.contributor.authorNg, KPen_HK
dc.date.accessioned2007-10-30T06:53:56Z-
dc.date.available2007-10-30T06:53:56Z-
dc.date.issued1996en_HK
dc.identifier.citationIEEE Region 10 Digital Signal Processing Applications Proceedings, Perth, Western Australia, 26-29 November 1996, v. 1, p. 288-293en_HK
dc.identifier.issn0886-1420en_HK
dc.identifier.urihttp://hdl.handle.net/10722/46601-
dc.description.abstractThe inverse problem involving the determination of a three-dimensional biological structure from images obtained by means of optical-sectioning microscopy is ill-posed. Regularization methods must often be used in order to obtain a reasonable solution. Recently, the total variation (TV) regularization, as proposed by Rudin, Osher and Fatemi (1992), has become very popular for this purpose. An iterative algorithm is used for minimizing a TV-penalized least squares problems. We also employ transform based methods for solving large linear subproblems arising from TV-penalized least squares problems. Preliminary numerical results show that the method performs quite well.en_HK
dc.format.extent857306 bytes-
dc.format.extent4654 bytes-
dc.format.mimetypeapplication/pdf-
dc.format.mimetypetext/plain-
dc.languageengen_HK
dc.publisherIEEE.en_HK
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.rights©1996 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.en_HK
dc.subjectComputersen_HK
dc.titleTotal variation based image restoration of three dimensional microscopic objectsen_HK
dc.typeConference_Paperen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0886-1420&volume=1&spage=288&epage=293&date=1996&atitle=Total+variation+based+image+restoration+of+three+dimensional+microscopic+objectsen_HK
dc.description.naturepublished_or_final_versionen_HK
dc.identifier.doi10.1109/TENCON.1996.608821en_HK
dc.identifier.hkuros35000-

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