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- Publisher Website: 10.4208/cicp.310811.090312a
- Scopus: eid_2-s2.0-84869750298
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Article: The convex relaxation method on deconvolution model with multiplicative noise
Title | The convex relaxation method on deconvolution model with multiplicative noise |
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Authors | |
Keywords | Deblurring Convergence Alternating minimization Non-convex model Multiplicative noise |
Issue Date | 2013 |
Citation | Communications in Computational Physics, 2013, v. 13, n. 4, p. 1066-1092 How to Cite? |
Abstract | In this paper, we consider variational approaches to handle the multiplicative noise removal and deblurring problem. Based on rather reasonable physical blurring-noisy assumptions, we derive a new variational model for this issue. After the study of the basic properties, we propose to approximate it by a convex relaxation model which is a balance between the previous non-convex model and a convex model. The relaxed model is solved by an alternating minimization approach. Numerical examples are presentedto illustrate the effectivenessand efficiencyof the proposed method. © 2013 Global-Science Press. |
Persistent Identifier | http://hdl.handle.net/10722/276941 |
ISSN | 2023 Impact Factor: 2.6 2023 SCImago Journal Rankings: 1.176 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Huang, Yumei | - |
dc.contributor.author | Ng, Michael | - |
dc.contributor.author | Zeng, Tieyong | - |
dc.date.accessioned | 2019-09-18T08:35:07Z | - |
dc.date.available | 2019-09-18T08:35:07Z | - |
dc.date.issued | 2013 | - |
dc.identifier.citation | Communications in Computational Physics, 2013, v. 13, n. 4, p. 1066-1092 | - |
dc.identifier.issn | 1815-2406 | - |
dc.identifier.uri | http://hdl.handle.net/10722/276941 | - |
dc.description.abstract | In this paper, we consider variational approaches to handle the multiplicative noise removal and deblurring problem. Based on rather reasonable physical blurring-noisy assumptions, we derive a new variational model for this issue. After the study of the basic properties, we propose to approximate it by a convex relaxation model which is a balance between the previous non-convex model and a convex model. The relaxed model is solved by an alternating minimization approach. Numerical examples are presentedto illustrate the effectivenessand efficiencyof the proposed method. © 2013 Global-Science Press. | - |
dc.language | eng | - |
dc.relation.ispartof | Communications in Computational Physics | - |
dc.subject | Deblurring | - |
dc.subject | Convergence | - |
dc.subject | Alternating minimization | - |
dc.subject | Non-convex model | - |
dc.subject | Multiplicative noise | - |
dc.title | The convex relaxation method on deconvolution model with multiplicative noise | - |
dc.type | Article | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.4208/cicp.310811.090312a | - |
dc.identifier.scopus | eid_2-s2.0-84869750298 | - |
dc.identifier.volume | 13 | - |
dc.identifier.issue | 4 | - |
dc.identifier.spage | 1066 | - |
dc.identifier.epage | 1092 | - |
dc.identifier.eissn | 1991-7120 | - |
dc.identifier.isi | WOS:000322065200006 | - |
dc.identifier.issnl | 1815-2406 | - |