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Article: A total variation regularization based super-resolution reconstruction algorithm for digital video

TitleA total variation regularization based super-resolution reconstruction algorithm for digital video
Authors
Ng, MKShen, HLam, EYZhang, L
KeywordsEuler equations
Iterative decoding
Mathematical models
Motion estimation
Nonlinear equations
Issue Date2007
PublisherHindawi Publishing Corporation. The Journal's web site is located at http://www.hindawi.com/journals/asp/
Citation
Eurasip Journal On Advances In Signal Processing, 2007, v. 2007 Article no. 074585 How to Cite?
DOI: http://dx.doi.org/10.1155/2007/74585
AbstractSuper-resolution (SR) reconstruction technique is capable of producing a high-resolution image from a sequence of low-resolution images. In this paper, we study an efficient SR algorithm for digital video. To effectively deal with the intractable problems in SR video reconstruction, such as inevitable motion estimation errors, noise, blurring, missing regions, and compression artifacts, the total variation (TV) regularization is employed in the reconstruction model. We use the fixed-point iteration method and preconditioning techniques to efficiently solve the associated nonlinear Euler-Lagrange equations of the corresponding variational problem in SR. The proposed algorithm has been tested in several cases of motion and degradation. It is also compared with the Laplacian regularization-based SR algorithm and other TV-based SR algorithms. Experimental results are presented to illustrate the effectiveness of the proposed algorithm.£.
Persistent Identifierhttp://hdl.handle.net/10722/73871
ISSN
1687-6172
2010 Impact Factor: 1.053
2020 SCImago Journal Rankings: 0.317
ISI Accession Number ID
WOS:000248447100001
References
References in Scopus

 

DC FieldValueLanguage
dc.contributor.authorNg, MKen_HK
dc.contributor.authorShen, Hen_HK
dc.contributor.authorLam, EYen_HK
dc.contributor.authorZhang, Len_HK
dc.date.accessioned2010-09-06T06:55:34Z-
dc.date.available2010-09-06T06:55:34Z-
dc.date.issued2007en_HK
dc.identifier.citationEurasip Journal On Advances In Signal Processing, 2007, v. 2007 Article no. 074585en_HK
dc.identifier.issn1687-6172en_HK
dc.identifier.urihttp://hdl.handle.net/10722/73871-
dc.description.abstractSuper-resolution (SR) reconstruction technique is capable of producing a high-resolution image from a sequence of low-resolution images. In this paper, we study an efficient SR algorithm for digital video. To effectively deal with the intractable problems in SR video reconstruction, such as inevitable motion estimation errors, noise, blurring, missing regions, and compression artifacts, the total variation (TV) regularization is employed in the reconstruction model. We use the fixed-point iteration method and preconditioning techniques to efficiently solve the associated nonlinear Euler-Lagrange equations of the corresponding variational problem in SR. The proposed algorithm has been tested in several cases of motion and degradation. It is also compared with the Laplacian regularization-based SR algorithm and other TV-based SR algorithms. Experimental results are presented to illustrate the effectiveness of the proposed algorithm.£.en_HK
dc.languageengen_HK
dc.publisherHindawi Publishing Corporation. The Journal's web site is located at http://www.hindawi.com/journals/asp/en_HK
dc.relation.ispartofEurasip Journal on Advances in Signal Processingen_HK
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectEuler equations-
dc.subjectIterative decoding-
dc.subjectMathematical models-
dc.subjectMotion estimation-
dc.subjectNonlinear equations-
dc.titleA total variation regularization based super-resolution reconstruction algorithm for digital videoen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=1687-6172&volume=2007, article no. 74585&spage=&epage=&date=2007&atitle=A+total+variation+regularization+based+super-resolution+reconstruction+algorithm+for+digital+videoen_HK
dc.identifier.emailLam, EY:elam@eee.hku.hken_HK
dc.identifier.authorityLam, EY=rp00131en_HK
dc.description.naturepublished_or_final_versionen_US
dc.identifier.doi10.1155/2007/74585en_HK
dc.identifier.scopuseid_2-s2.0-34547143792en_HK
dc.identifier.hkuros129286en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-34547143792&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume2007en_HK
dc.identifier.isiWOS:000248447100001-
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridNg, MK=34571761900en_HK
dc.identifier.scopusauthoridShen, H=8359721100en_HK
dc.identifier.scopusauthoridLam, EY=7102890004en_HK
dc.identifier.scopusauthoridZhang, L=8359720900en_HK
dc.identifier.citeulike2439550-
dc.identifier.issnl1687-6172-

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