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Article: Zoom-based super-resolution reconstruction approach using prior total variation
Title | Zoom-based super-resolution reconstruction approach using prior total variation |
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Authors | |
Keywords | Preconditioning Zoom super-resolution reconstruction Total variation Registration Inpainting |
Issue Date | 2007 |
Citation | Optical Engineering, 2007, v. 46, n. 12, article no. 127003 How to Cite? |
Abstract | We present a robust and efficient approach for zoom-based super-resolution (SR) reconstruction problems. We employ the total variation (TV) of the desired image priori in the maximum a-posteriori estimation. An efficient algorithm based on iterative methods and preconditioning techniques is employed to solve the resulting variational problem. To suit the proposed algorithm for realistic imaging situations, a registration method is presented to simultaneously solve the zooming factors, image center shifts, and photometric parameters. Experimental results show that the proposed TV-based algorithm performs quite well in terms of both quantitative measurements and visual evaluation. We also demonstrate that the proposed algorithm is robust for SR image inpainting, where some pixels are missed in the SR reconstruction model. © 2007 Society of Photo-Optical Instrumentation Engineers. |
Persistent Identifier | http://hdl.handle.net/10722/276822 |
ISSN | 2023 Impact Factor: 1.1 2023 SCImago Journal Rankings: 0.331 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Ng, Michael K. | - |
dc.contributor.author | Shen, Huanfeng | - |
dc.contributor.author | Chaudhuri, Subhasis | - |
dc.contributor.author | Yau, Andy C. | - |
dc.date.accessioned | 2019-09-18T08:34:46Z | - |
dc.date.available | 2019-09-18T08:34:46Z | - |
dc.date.issued | 2007 | - |
dc.identifier.citation | Optical Engineering, 2007, v. 46, n. 12, article no. 127003 | - |
dc.identifier.issn | 0091-3286 | - |
dc.identifier.uri | http://hdl.handle.net/10722/276822 | - |
dc.description.abstract | We present a robust and efficient approach for zoom-based super-resolution (SR) reconstruction problems. We employ the total variation (TV) of the desired image priori in the maximum a-posteriori estimation. An efficient algorithm based on iterative methods and preconditioning techniques is employed to solve the resulting variational problem. To suit the proposed algorithm for realistic imaging situations, a registration method is presented to simultaneously solve the zooming factors, image center shifts, and photometric parameters. Experimental results show that the proposed TV-based algorithm performs quite well in terms of both quantitative measurements and visual evaluation. We also demonstrate that the proposed algorithm is robust for SR image inpainting, where some pixels are missed in the SR reconstruction model. © 2007 Society of Photo-Optical Instrumentation Engineers. | - |
dc.language | eng | - |
dc.relation.ispartof | Optical Engineering | - |
dc.subject | Preconditioning | - |
dc.subject | Zoom super-resolution reconstruction | - |
dc.subject | Total variation | - |
dc.subject | Registration | - |
dc.subject | Inpainting | - |
dc.title | Zoom-based super-resolution reconstruction approach using prior total variation | - |
dc.type | Article | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1117/1.2818797 | - |
dc.identifier.scopus | eid_2-s2.0-37549038175 | - |
dc.identifier.volume | 46 | - |
dc.identifier.issue | 12 | - |
dc.identifier.spage | article no. 127003 | - |
dc.identifier.epage | article no. 127003 | - |
dc.identifier.eissn | 1560-2303 | - |
dc.identifier.isi | WOS:000252846600028 | - |
dc.identifier.issnl | 0091-3286 | - |