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- Publisher Website: 10.1109/TIP.2014.2369953
- Scopus: eid_2-s2.0-84916928361
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Article: Alternating direction method of multipliers for nonlinear image restoration problems
Title | Alternating direction method of multipliers for nonlinear image restoration problems |
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Authors | |
Keywords | Nonlinearity Total variation Image restoration High-dynamic range imaging Alternating direction method of multipliers |
Issue Date | 2015 |
Citation | IEEE Transactions on Image Processing, 2015, v. 24, n. 1, p. 33-43 How to Cite? |
Abstract | © 2014 IEEE. In this paper, we address the total variation (TV)-based nonlinear image restoration problems. In nonlinear image restoration problems, an original image is corrupted by a spatiallyinvariant blur, the build-in nonlinearity in imaging system, and the additive Gaussian white noise. We study the objective function consisting of the nonlinear least squares data-fitting term and the TV regularization term of the restored image. By making use of the structure of the objective function, an efficient alternating direction method of multipliers can be developed for solving the proposed model. The convergence of the numerical scheme is also studied. Numerical examples, including nonlinear image restoration and high-dynamic range imaging are reported to demonstrate the effectiveness of the proposed model and the efficiency of the proposed numerical scheme. |
Persistent Identifier | http://hdl.handle.net/10722/277010 |
ISSN | 2023 Impact Factor: 10.8 2023 SCImago Journal Rankings: 3.556 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Chen, Chuan | - |
dc.contributor.author | Ng, Michael K. | - |
dc.contributor.author | Zhao, Xi Le | - |
dc.date.accessioned | 2019-09-18T08:35:20Z | - |
dc.date.available | 2019-09-18T08:35:20Z | - |
dc.date.issued | 2015 | - |
dc.identifier.citation | IEEE Transactions on Image Processing, 2015, v. 24, n. 1, p. 33-43 | - |
dc.identifier.issn | 1057-7149 | - |
dc.identifier.uri | http://hdl.handle.net/10722/277010 | - |
dc.description.abstract | © 2014 IEEE. In this paper, we address the total variation (TV)-based nonlinear image restoration problems. In nonlinear image restoration problems, an original image is corrupted by a spatiallyinvariant blur, the build-in nonlinearity in imaging system, and the additive Gaussian white noise. We study the objective function consisting of the nonlinear least squares data-fitting term and the TV regularization term of the restored image. By making use of the structure of the objective function, an efficient alternating direction method of multipliers can be developed for solving the proposed model. The convergence of the numerical scheme is also studied. Numerical examples, including nonlinear image restoration and high-dynamic range imaging are reported to demonstrate the effectiveness of the proposed model and the efficiency of the proposed numerical scheme. | - |
dc.language | eng | - |
dc.relation.ispartof | IEEE Transactions on Image Processing | - |
dc.subject | Nonlinearity | - |
dc.subject | Total variation | - |
dc.subject | Image restoration | - |
dc.subject | High-dynamic range imaging | - |
dc.subject | Alternating direction method of multipliers | - |
dc.title | Alternating direction method of multipliers for nonlinear image restoration problems | - |
dc.type | Article | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1109/TIP.2014.2369953 | - |
dc.identifier.scopus | eid_2-s2.0-84916928361 | - |
dc.identifier.volume | 24 | - |
dc.identifier.issue | 1 | - |
dc.identifier.spage | 33 | - |
dc.identifier.epage | 43 | - |
dc.identifier.isi | WOS:000346343400003 | - |
dc.identifier.issnl | 1057-7149 | - |