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Conference Paper: L0-norm and total variation for wavelet inpainting
| Title | L0-norm and total variation for wavelet inpainting |
|---|---|
| Authors | |
| Issue Date | 2009 |
| Publisher | Springer. |
| Citation | Second International Conference on Scale Space and Variational Methods in Computer Vision (SSVM 2009), Voss, Norway, 1-5 June 2009. In Scale Space and Variational Methods in Computer Vision: Second International Conference, SSVM 2009, Voss, Norway, June 1-5, 2009: Proceedings, 2009, p. 539-551 How to Cite? |
| Abstract | In this paper, we suggest an algorithm to recover an image whose wavelet coefficients are partially lost. We propose a wavelet inpainting model by using L 0-norm and the total variation (TV) minimization. Traditionally, L 0-norm is replaced by L 1-norm or L 2-norm due to numerical difficulties. We use an alternating minimization technique to overcome these difficulties. In order to improve the numerical efficiency, we also apply a graph cut algorithm to solve the subproblem related to TV minimization. Numerical results will be given to demonstrate our advantages of the proposed algorithm. © 2009 Springer Berlin Heidelberg. |
| Persistent Identifier | http://hdl.handle.net/10722/276844 |
| ISBN | |
| ISSN | 2023 SCImago Journal Rankings: 0.606 |
| Series/Report no. | Lecture Notes in Computer Science ; 5567 |
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Yau, Andy C. | - |
| dc.contributor.author | Tai, Xue Cheng | - |
| dc.contributor.author | Ng, Michael K. | - |
| dc.date.accessioned | 2019-09-18T08:34:49Z | - |
| dc.date.available | 2019-09-18T08:34:49Z | - |
| dc.date.issued | 2009 | - |
| dc.identifier.citation | Second International Conference on Scale Space and Variational Methods in Computer Vision (SSVM 2009), Voss, Norway, 1-5 June 2009. In Scale Space and Variational Methods in Computer Vision: Second International Conference, SSVM 2009, Voss, Norway, June 1-5, 2009: Proceedings, 2009, p. 539-551 | - |
| dc.identifier.isbn | 9783642022555 | - |
| dc.identifier.issn | 0302-9743 | - |
| dc.identifier.uri | http://hdl.handle.net/10722/276844 | - |
| dc.description.abstract | In this paper, we suggest an algorithm to recover an image whose wavelet coefficients are partially lost. We propose a wavelet inpainting model by using L 0-norm and the total variation (TV) minimization. Traditionally, L 0-norm is replaced by L 1-norm or L 2-norm due to numerical difficulties. We use an alternating minimization technique to overcome these difficulties. In order to improve the numerical efficiency, we also apply a graph cut algorithm to solve the subproblem related to TV minimization. Numerical results will be given to demonstrate our advantages of the proposed algorithm. © 2009 Springer Berlin Heidelberg. | - |
| dc.language | eng | - |
| dc.publisher | Springer. | - |
| dc.relation.ispartof | Scale Space and Variational Methods in Computer Vision: Second International Conference, SSVM 2009, Voss, Norway, June 1-5, 2009: Proceedings | - |
| dc.relation.ispartofseries | Lecture Notes in Computer Science ; 5567 | - |
| dc.title | L0-norm and total variation for wavelet inpainting | - |
| dc.type | Conference_Paper | - |
| dc.description.nature | link_to_subscribed_fulltext | - |
| dc.identifier.doi | 10.1007/978-3-642-02256-2_45 | - |
| dc.identifier.scopus | eid_2-s2.0-69049088066 | - |
| dc.identifier.spage | 539 | - |
| dc.identifier.epage | 551 | - |
| dc.identifier.eissn | 1611-3349 | - |
| dc.publisher.place | Berlin | - |
| dc.identifier.issnl | 0302-9743 | - |