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Article: Iterative algorithms based on decoupling of deblurring and denoising for image restoration

TitleIterative algorithms based on decoupling of deblurring and denoising for image restoration
Authors
KeywordsDeblurring
Denoising
Image restoration
Iterative algorithms
Total variation
Wavelet
Issue Date2007
PublisherSociety for Industrial and Applied Mathematics. The Journal's web site is located at http://epubs.siam.org/sam-bin/dbq/toclist/SISC
Citation
SIAM Journal On Scientific Computing, 2007, v. 30 n. 5, p. 2655-2674 How to Cite?
AbstractIn this paper, we propose iterative algorithms for solving image restoration problems. The iterative algorithms are based on decoupling of deblurring and denoising steps in the restoration process. In the deblurring step, an efficient deblurring method using fast transforms can be employed. In the denoising step, effective methods such as the wavelet shrinkage denoising method or the total variation denoising method can be used. The main advantage of this proposal is that the resulting algorithms can be very efficient and can produce better restored images in visual quality and signalto-noise ratio than those by the restoration methods using the combination of a data-fitting term and a regularization term. The convergence of the proposed algorithms is shown in the paper. Numerical examples are also given to demonstrate the effectiveness of these algorithms. © 2008 Society for Industrial and Applied Mathematics.
Persistent Identifierhttp://hdl.handle.net/10722/58963
ISSN
2015 Impact Factor: 1.792
2015 SCImago Journal Rankings: 2.166
ISI Accession Number ID
Funding AgencyGrant Number
NNSFC60702030
RGC7045/04P
7045/05P
HKBU FRGs
Funding Information:

This author's research was supported in part by NNSFC grant 60702030.

References

 

DC FieldValueLanguage
dc.contributor.authorWen, YWen_HK
dc.contributor.authorNg, MKen_HK
dc.contributor.authorChing, WKen_HK
dc.date.accessioned2010-05-31T03:40:27Z-
dc.date.available2010-05-31T03:40:27Z-
dc.date.issued2007en_HK
dc.identifier.citationSIAM Journal On Scientific Computing, 2007, v. 30 n. 5, p. 2655-2674en_HK
dc.identifier.issn1064-8275en_HK
dc.identifier.urihttp://hdl.handle.net/10722/58963-
dc.description.abstractIn this paper, we propose iterative algorithms for solving image restoration problems. The iterative algorithms are based on decoupling of deblurring and denoising steps in the restoration process. In the deblurring step, an efficient deblurring method using fast transforms can be employed. In the denoising step, effective methods such as the wavelet shrinkage denoising method or the total variation denoising method can be used. The main advantage of this proposal is that the resulting algorithms can be very efficient and can produce better restored images in visual quality and signalto-noise ratio than those by the restoration methods using the combination of a data-fitting term and a regularization term. The convergence of the proposed algorithms is shown in the paper. Numerical examples are also given to demonstrate the effectiveness of these algorithms. © 2008 Society for Industrial and Applied Mathematics.en_HK
dc.languageengen_HK
dc.publisherSociety for Industrial and Applied Mathematics. The Journal's web site is located at http://epubs.siam.org/sam-bin/dbq/toclist/SISCen_HK
dc.relation.ispartofSIAM Journal on Scientific Computingen_HK
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.subjectDeblurringen_HK
dc.subjectDenoisingen_HK
dc.subjectImage restorationen_HK
dc.subjectIterative algorithmsen_HK
dc.subjectTotal variationen_HK
dc.subjectWaveleten_HK
dc.titleIterative algorithms based on decoupling of deblurring and denoising for image restorationen_HK
dc.typeArticleen_HK
dc.identifier.emailChing, WK:wching@hku.hken_HK
dc.identifier.authorityChing, WK=rp00679en_HK
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1137/070683374en_HK
dc.identifier.scopuseid_2-s2.0-55349138049en_HK
dc.identifier.hkuros148256en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-55349138049&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume30en_HK
dc.identifier.issue5en_HK
dc.identifier.spage2655en_HK
dc.identifier.epage2674en_HK
dc.identifier.eissn1095-7197-
dc.identifier.isiWOS:000260850000021-
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridWen, YW=7401777008en_HK
dc.identifier.scopusauthoridNg, MK=34571761900en_HK
dc.identifier.scopusauthoridChing, WK=13310265500en_HK

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