File Download
There are no files associated with this item.
Links for fulltext
(May Require Subscription)
- Publisher Website: 10.1109/TIP.2010.2052275
- Scopus: eid_2-s2.0-78649252763
- PMID: 20542766
- WOS: WOS:000284362400001
- Find via
Supplementary
- Citations:
- Appears in Collections:
Article: Fast nonconvex nonsmooth minimization methods for image restoration and reconstruction
Title | Fast nonconvex nonsmooth minimization methods for image restoration and reconstruction |
---|---|
Authors | |
Keywords | image restoration fast Fourier transform total variation nonconvex nonsmooth regularization nonconvex nonsmooth global minimization image reconstruction Continuation methods |
Issue Date | 2010 |
Citation | IEEE Transactions on Image Processing, 2010, v. 19, n. 12, p. 3073-3088 How to Cite? |
Abstract | Nonconvex nonsmooth regularization has advantages over convex regularization for restoring images with neat edges. However, its practical interest used to be limited by the difficulty of the computational stage which requires a nonconvex nonsmooth minimization. In this paper, we deal with nonconvex nonsmooth minimization methods for image restoration and reconstruction. Our theoretical results show that the solution of the nonconvex nonsmooth minimization problem is composed of constant regions surrounded by closed contours and neat edges. The main goal of this paper is to develop fast minimization algorithms to solve the nonconvex nonsmooth minimization problem. Our experimental results show that the effectiveness and efficiency of the proposed algorithms. © 2010 IEEE. |
Persistent Identifier | http://hdl.handle.net/10722/276481 |
ISSN | 2023 Impact Factor: 10.8 2023 SCImago Journal Rankings: 3.556 |
ISI Accession Number ID |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Nikolova, Mila | - |
dc.contributor.author | Ng, Michael K. | - |
dc.contributor.author | Tam, Chi Pan | - |
dc.date.accessioned | 2019-09-18T08:33:44Z | - |
dc.date.available | 2019-09-18T08:33:44Z | - |
dc.date.issued | 2010 | - |
dc.identifier.citation | IEEE Transactions on Image Processing, 2010, v. 19, n. 12, p. 3073-3088 | - |
dc.identifier.issn | 1057-7149 | - |
dc.identifier.uri | http://hdl.handle.net/10722/276481 | - |
dc.description.abstract | Nonconvex nonsmooth regularization has advantages over convex regularization for restoring images with neat edges. However, its practical interest used to be limited by the difficulty of the computational stage which requires a nonconvex nonsmooth minimization. In this paper, we deal with nonconvex nonsmooth minimization methods for image restoration and reconstruction. Our theoretical results show that the solution of the nonconvex nonsmooth minimization problem is composed of constant regions surrounded by closed contours and neat edges. The main goal of this paper is to develop fast minimization algorithms to solve the nonconvex nonsmooth minimization problem. Our experimental results show that the effectiveness and efficiency of the proposed algorithms. © 2010 IEEE. | - |
dc.language | eng | - |
dc.relation.ispartof | IEEE Transactions on Image Processing | - |
dc.subject | image restoration | - |
dc.subject | fast Fourier transform | - |
dc.subject | total variation | - |
dc.subject | nonconvex nonsmooth regularization | - |
dc.subject | nonconvex nonsmooth global minimization | - |
dc.subject | image reconstruction | - |
dc.subject | Continuation methods | - |
dc.title | Fast nonconvex nonsmooth minimization methods for image restoration and reconstruction | - |
dc.type | Article | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1109/TIP.2010.2052275 | - |
dc.identifier.pmid | 20542766 | - |
dc.identifier.scopus | eid_2-s2.0-78649252763 | - |
dc.identifier.volume | 19 | - |
dc.identifier.issue | 12 | - |
dc.identifier.spage | 3073 | - |
dc.identifier.epage | 3088 | - |
dc.identifier.isi | WOS:000284362400001 | - |
dc.identifier.issnl | 1057-7149 | - |