File Download
There are no files associated with this item.
Links for fulltext
(May Require Subscription)
- Publisher Website: 10.1137/090774823
- Scopus: eid_2-s2.0-78149331304
- WOS: WOS:000283293500013
- Find via
Supplementary
- Citations:
- Appears in Collections:
Article: Solving constrained total-variation image restoration and reconstruction problems via alternating direction methods
Title | Solving constrained total-variation image restoration and reconstruction problems via alternating direction methods |
---|---|
Authors | |
Keywords | Alternating direction method Image restoration Total-variation Image reconstruction Augmented Lagrangian |
Issue Date | 2010 |
Publisher | Society for Industrial and Applied Mathematics. The Journal's web site is located at http://www.siam.org/journals/sisc.php |
Citation | SIAM Journal on Scientific Computing, 2010, v. 32, n. 5, p. 2710-2736 How to Cite? |
Abstract | In this paper, we study alternating direction methods for solving constrained totalvariation image restoration and reconstruction problems. Alternating direction methods can be implementable variants of the classical augmented Lagrangian method for optimization problems with separable structures and linear constraints. The proposed framework allows us to solve problems of image restoration, impulse noise removal, inpainting, and image cartoon+texture decomposition. As the constrained model is employed, we need only to input the noise level, and the estimation of the regularization parameter is not required in these imaging problems. Experimental results for such imaging problems are presented to illustrate the effectiveness of the proposed method. We show that the alternating direction method is very efficient for solving image restoration and reconstruction problems. © 2010 Society for Industrial and Applied Mathematics. |
Persistent Identifier | http://hdl.handle.net/10722/250954 |
ISSN | 2023 Impact Factor: 3.0 2023 SCImago Journal Rankings: 1.803 |
ISI Accession Number ID |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Ng, Michael K. | - |
dc.contributor.author | Weiss, Pierre | - |
dc.contributor.author | Yuan, Xiaoming | - |
dc.date.accessioned | 2018-02-01T01:54:10Z | - |
dc.date.available | 2018-02-01T01:54:10Z | - |
dc.date.issued | 2010 | - |
dc.identifier.citation | SIAM Journal on Scientific Computing, 2010, v. 32, n. 5, p. 2710-2736 | - |
dc.identifier.issn | 1064-8275 | - |
dc.identifier.uri | http://hdl.handle.net/10722/250954 | - |
dc.description.abstract | In this paper, we study alternating direction methods for solving constrained totalvariation image restoration and reconstruction problems. Alternating direction methods can be implementable variants of the classical augmented Lagrangian method for optimization problems with separable structures and linear constraints. The proposed framework allows us to solve problems of image restoration, impulse noise removal, inpainting, and image cartoon+texture decomposition. As the constrained model is employed, we need only to input the noise level, and the estimation of the regularization parameter is not required in these imaging problems. Experimental results for such imaging problems are presented to illustrate the effectiveness of the proposed method. We show that the alternating direction method is very efficient for solving image restoration and reconstruction problems. © 2010 Society for Industrial and Applied Mathematics. | - |
dc.language | eng | - |
dc.publisher | Society for Industrial and Applied Mathematics. The Journal's web site is located at http://www.siam.org/journals/sisc.php | - |
dc.relation.ispartof | SIAM Journal on Scientific Computing | - |
dc.subject | Alternating direction method | - |
dc.subject | Image restoration | - |
dc.subject | Total-variation | - |
dc.subject | Image reconstruction | - |
dc.subject | Augmented Lagrangian | - |
dc.title | Solving constrained total-variation image restoration and reconstruction problems via alternating direction methods | - |
dc.type | Article | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1137/090774823 | - |
dc.identifier.scopus | eid_2-s2.0-78149331304 | - |
dc.identifier.volume | 32 | - |
dc.identifier.issue | 5 | - |
dc.identifier.spage | 2710 | - |
dc.identifier.epage | 2736 | - |
dc.identifier.isi | WOS:000283293500013 | - |
dc.identifier.issnl | 1064-8275 | - |