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- Publisher Website: 10.1007/s11045-010-0137-9
- Scopus: eid_2-s2.0-79751536945
- WOS: WOS:000286665800015
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Article: Fast minimization methods for solving constrained total-variation superresolution image reconstruction
| Title | Fast minimization methods for solving constrained total-variation superresolution image reconstruction |
|---|---|
| Authors | |
| Keywords | Alternating direction methods Constrained total-variation Inexact computation Superresolution image reconstruction |
| Issue Date | 2011 |
| Citation | Multidimensional Systems and Signal Processing, 2011, v. 22, n. 1-3, p. 259-286 How to Cite? |
| Abstract | In this paper, we study the problem of reconstructing a high-resolution image from several decimated, blurred and noisy low-resolution versions of the high-resolution image. The problem can be formulated as a combination of the total variation (TV) inpainting model and the superresolution image reconstruction model. The main purpose of this paper is to develop an inexact alternating direction method for solving such constrained TV image reconstruction problem. Experimental results are given to show that the proposed algorithm is effective and efficient. © 2010 Springer Science+Business Media, LLC. |
| Persistent Identifier | http://hdl.handle.net/10722/250962 |
| ISSN | 2023 Impact Factor: 1.7 2023 SCImago Journal Rankings: 0.499 |
| ISI Accession Number ID |
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Ng, Michael | - |
| dc.contributor.author | Wang, Fan | - |
| dc.contributor.author | Yuan, Xiao Ming | - |
| dc.date.accessioned | 2018-02-01T01:54:11Z | - |
| dc.date.available | 2018-02-01T01:54:11Z | - |
| dc.date.issued | 2011 | - |
| dc.identifier.citation | Multidimensional Systems and Signal Processing, 2011, v. 22, n. 1-3, p. 259-286 | - |
| dc.identifier.issn | 0923-6082 | - |
| dc.identifier.uri | http://hdl.handle.net/10722/250962 | - |
| dc.description.abstract | In this paper, we study the problem of reconstructing a high-resolution image from several decimated, blurred and noisy low-resolution versions of the high-resolution image. The problem can be formulated as a combination of the total variation (TV) inpainting model and the superresolution image reconstruction model. The main purpose of this paper is to develop an inexact alternating direction method for solving such constrained TV image reconstruction problem. Experimental results are given to show that the proposed algorithm is effective and efficient. © 2010 Springer Science+Business Media, LLC. | - |
| dc.language | eng | - |
| dc.relation.ispartof | Multidimensional Systems and Signal Processing | - |
| dc.subject | Alternating direction methods | - |
| dc.subject | Constrained total-variation | - |
| dc.subject | Inexact computation | - |
| dc.subject | Superresolution image reconstruction | - |
| dc.title | Fast minimization methods for solving constrained total-variation superresolution image reconstruction | - |
| dc.type | Article | - |
| dc.description.nature | link_to_subscribed_fulltext | - |
| dc.identifier.doi | 10.1007/s11045-010-0137-9 | - |
| dc.identifier.scopus | eid_2-s2.0-79751536945 | - |
| dc.identifier.volume | 22 | - |
| dc.identifier.issue | 1-3 | - |
| dc.identifier.spage | 259 | - |
| dc.identifier.epage | 286 | - |
| dc.identifier.isi | WOS:000286665800015 | - |
| dc.identifier.issnl | 0923-6082 | - |