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Conference Paper: Multi-channel blind blur identification and image restoration

TitleMulti-channel blind blur identification and image restoration
Authors
Issue Date1998
PublisherS P I E - International Society for Optical Engineering. The Journal's web site is located at http://spie.org/x1848.xml
Citation
Proceedings Of Spie - The International Society For Optical Engineering, 1998, v. 3545, p. 533-536 How to Cite?
AbstractThis paper considers the problem of multi-channel blind image restoration and blur identification. By constructing the blind identification problem into an optimization problem, we propose a subspace decomposition based algorithm to blindly identify the blur functions. The proposed algorithm is inherently the same as many of the others in the literature, but at significantly reduced computation complexity. Let M be the number of blurred images available, N1×N2 be the size of the images and L1×L2 be the size of blur functions, our algorithm has a computation complexity of O(M2L1 2L2 2N1N2), as compared to O(M4L1 2L2 2N1N2) for previous works. The proposed algorithm is therefore more suitable for practical applications.
Persistent Identifierhttp://hdl.handle.net/10722/158256
ISSN

 

DC FieldValueLanguage
dc.contributor.authorChang, Chunqien_HK
dc.contributor.authorYau, Sze Fongen_HK
dc.contributor.authorKwok, Paulen_HK
dc.contributor.authorLam, FKen_HK
dc.contributor.authorChan, Francis HYen_HK
dc.date.accessioned2012-08-08T08:58:46Z-
dc.date.available2012-08-08T08:58:46Z-
dc.date.issued1998en_HK
dc.identifier.citationProceedings Of Spie - The International Society For Optical Engineering, 1998, v. 3545, p. 533-536en_US
dc.identifier.issn0277-786Xen_HK
dc.identifier.urihttp://hdl.handle.net/10722/158256-
dc.description.abstractThis paper considers the problem of multi-channel blind image restoration and blur identification. By constructing the blind identification problem into an optimization problem, we propose a subspace decomposition based algorithm to blindly identify the blur functions. The proposed algorithm is inherently the same as many of the others in the literature, but at significantly reduced computation complexity. Let M be the number of blurred images available, N1×N2 be the size of the images and L1×L2 be the size of blur functions, our algorithm has a computation complexity of O(M2L1 2L2 2N1N2), as compared to O(M4L1 2L2 2N1N2) for previous works. The proposed algorithm is therefore more suitable for practical applications.en_HK
dc.languageengen_US
dc.publisherS P I E - International Society for Optical Engineering. The Journal's web site is located at http://spie.org/x1848.xmlen_HK
dc.relation.ispartofProceedings of SPIE - The International Society for Optical Engineeringen_HK
dc.titleMulti-channel blind blur identification and image restorationen_HK
dc.typeConference_Paperen_HK
dc.identifier.emailChang, Chunqi: cqchang@eee.hku.hken_HK
dc.identifier.authorityChang, Chunqi=rp00095en_HK
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.scopuseid_2-s2.0-0032304138en_HK
dc.identifier.volume3545en_HK
dc.identifier.spage533en_HK
dc.identifier.epage536en_HK
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridChang, Chunqi=7407033052en_HK
dc.identifier.scopusauthoridYau, Sze Fong=7202478362en_HK
dc.identifier.scopusauthoridKwok, Paul=7101871278en_HK
dc.identifier.scopusauthoridLam, FK=7102075939en_HK
dc.identifier.scopusauthoridChan, Francis HY=7202586429en_HK

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