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- Publisher Website: 10.1109/nDS.2011.6076848
- Scopus: eid_2-s2.0-83055196768
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Conference Paper: On selection of spatial-varying regularization parameters in total variation image restoration
Title | On selection of spatial-varying regularization parameters in total variation image restoration |
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Authors | |
Issue Date | 2011 |
Citation | 2011 7th International Workshop on Multidimensional (nD) Systems, nDS 2011, 2011, article no. 6076848 How to Cite? |
Abstract | In this paper, we consider and study total variation (TV) image restoration. The main aim of this paper is to develop a fast TV image restoration method with an automatic selection of spatial-varying regularization parameter scheme to restore blurred and noisy images. The method exploits the generalized cross-validation (GCV) technique to determine inexpensively how much regularization used in each region of an image and in each restoration step. By updating the regularization parameter in each iteration, the restored image can be obtained. Our experimental results show that the visual quality of restored images by the proposed method is very good even without prior knowledge of the original image. We will demonstrate the proposed method is also very efficient. © 2011 IEEE. |
Persistent Identifier | http://hdl.handle.net/10722/276911 |
DC Field | Value | Language |
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dc.contributor.author | Fong, Wai Lam | - |
dc.contributor.author | Ng, Michael K. | - |
dc.date.accessioned | 2019-09-18T08:35:02Z | - |
dc.date.available | 2019-09-18T08:35:02Z | - |
dc.date.issued | 2011 | - |
dc.identifier.citation | 2011 7th International Workshop on Multidimensional (nD) Systems, nDS 2011, 2011, article no. 6076848 | - |
dc.identifier.uri | http://hdl.handle.net/10722/276911 | - |
dc.description.abstract | In this paper, we consider and study total variation (TV) image restoration. The main aim of this paper is to develop a fast TV image restoration method with an automatic selection of spatial-varying regularization parameter scheme to restore blurred and noisy images. The method exploits the generalized cross-validation (GCV) technique to determine inexpensively how much regularization used in each region of an image and in each restoration step. By updating the regularization parameter in each iteration, the restored image can be obtained. Our experimental results show that the visual quality of restored images by the proposed method is very good even without prior knowledge of the original image. We will demonstrate the proposed method is also very efficient. © 2011 IEEE. | - |
dc.language | eng | - |
dc.relation.ispartof | 2011 7th International Workshop on Multidimensional (nD) Systems, nDS 2011 | - |
dc.title | On selection of spatial-varying regularization parameters in total variation image restoration | - |
dc.type | Conference_Paper | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1109/nDS.2011.6076848 | - |
dc.identifier.scopus | eid_2-s2.0-83055196768 | - |
dc.identifier.spage | article no. 6076848 | - |
dc.identifier.epage | article no. 6076848 | - |