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Conference Paper: An efficient parallel algorithm for high resolution color image reconstruction

TitleAn efficient parallel algorithm for high resolution color image reconstruction
Authors
Ng, KP
KeywordsComputers
Computer architecture
Issue Date2000
PublisherIEEE.
Citation
The 7th International Conference on Parallel and Distributed Systems Proceedings: Workshops, Iwate, Japan, 4-7 July 2000, p. 547-552 How to Cite?
DOI: http://dx.doi.org/10.1109/PADSW.2000.884680
AbstractThis paper studies the application of preconditioned conjugate gradient methods in high resolution color image reconstruction problems. The high resolution color images are reconstructed from multiple undersampled, shifted, degraded color frames with subpixel displacements. The resulting degradation matrices are spatially variant. The preconditioners are derived by taking the cosine transform approximation of the degradation matrices. The resulting preconditioning matrices allow the use of fast transform methods. We show how the methods can be implemented on parallel computers, and we demonstrate their parallel efficiency using experiments on a sixteen processor IBM SP-2.
Persistent Identifierhttp://hdl.handle.net/10722/46604
ISSN
1521-9097
2020 SCImago Journal Rankings: 0.212

 

DC FieldValueLanguage
dc.contributor.authorNg, KPen_HK
dc.date.accessioned2007-10-30T06:54:00Z-
dc.date.available2007-10-30T06:54:00Z-
dc.date.issued2000en_HK
dc.identifier.citationThe 7th International Conference on Parallel and Distributed Systems Proceedings: Workshops, Iwate, Japan, 4-7 July 2000, p. 547-552en_HK
dc.identifier.issn1521-9097en_HK
dc.identifier.urihttp://hdl.handle.net/10722/46604-
dc.description.abstractThis paper studies the application of preconditioned conjugate gradient methods in high resolution color image reconstruction problems. The high resolution color images are reconstructed from multiple undersampled, shifted, degraded color frames with subpixel displacements. The resulting degradation matrices are spatially variant. The preconditioners are derived by taking the cosine transform approximation of the degradation matrices. The resulting preconditioning matrices allow the use of fast transform methods. We show how the methods can be implemented on parallel computers, and we demonstrate their parallel efficiency using experiments on a sixteen processor IBM SP-2.en_HK
dc.format.extent543522 bytes-
dc.format.extent4654 bytes-
dc.format.mimetypeapplication/pdf-
dc.format.mimetypetext/plain-
dc.languageengen_HK
dc.publisherIEEE.en_HK
dc.rights©2000 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.-
dc.subjectComputersen_HK
dc.subjectComputer architectureen_HK
dc.titleAn efficient parallel algorithm for high resolution color image reconstructionen_HK
dc.typeConference_Paperen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=1521-9097&volume=&spage=547&epage=552&date=2000&atitle=An+efficient+parallel+algorithm+for+high+resolution+color+image+reconstructionen_HK
dc.description.naturepublished_or_final_versionen_HK
dc.identifier.doi10.1109/PADSW.2000.884680en_HK
dc.identifier.scopuseid_2-s2.0-0038699723-
dc.identifier.hkuros63233-
dc.identifier.issnl1521-9097-

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