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Article: Regularization of RIF blind image deconvolution
Title | Regularization of RIF blind image deconvolution |
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Authors | |
Issue Date | 2000 |
Publisher | IEEE. |
Citation | IEEE Transactions on Image Processing, 2000, v. 9 n. 6, p. 1130-1134 How to Cite? |
Abstract | Blind image restoration is the process of estimating both the true image and the blur from the degraded image, using only partial information about degradation sources and the imaging system. Our main interest concerns optical image enhancement, where the degradation often involves a convolution process. We provide a method to incorporate truncated eigenvalue and total variation regularization into a nonlinear recursive inverse filter (RIF) blind deconvolution scheme first proposed by Kundar, and by Kundur and Hatzinakos (1996, 1998). Tests are reported on simulated and optical imaging problems. |
Persistent Identifier | http://hdl.handle.net/10722/42991 |
ISSN | 2021 Impact Factor: 11.041 2020 SCImago Journal Rankings: 1.778 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Ng, MK | en_HK |
dc.contributor.author | Plemmons, R | en_HK |
dc.contributor.author | Qiao, S | en_HK |
dc.date.accessioned | 2007-03-23T04:36:23Z | - |
dc.date.available | 2007-03-23T04:36:23Z | - |
dc.date.issued | 2000 | en_HK |
dc.identifier.citation | IEEE Transactions on Image Processing, 2000, v. 9 n. 6, p. 1130-1134 | en_HK |
dc.identifier.issn | 1057-7149 | en_HK |
dc.identifier.uri | http://hdl.handle.net/10722/42991 | - |
dc.description.abstract | Blind image restoration is the process of estimating both the true image and the blur from the degraded image, using only partial information about degradation sources and the imaging system. Our main interest concerns optical image enhancement, where the degradation often involves a convolution process. We provide a method to incorporate truncated eigenvalue and total variation regularization into a nonlinear recursive inverse filter (RIF) blind deconvolution scheme first proposed by Kundar, and by Kundur and Hatzinakos (1996, 1998). Tests are reported on simulated and optical imaging problems. | en_HK |
dc.format.extent | 153900 bytes | - |
dc.format.extent | 26112 bytes | - |
dc.format.mimetype | application/pdf | - |
dc.format.mimetype | application/msword | - |
dc.language | eng | en_HK |
dc.publisher | IEEE. | en_HK |
dc.relation.ispartof | IEEE Transactions on Image Processing | - |
dc.rights | ©2000 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. | - |
dc.title | Regularization of RIF blind image deconvolution | en_HK |
dc.type | Article | en_HK |
dc.description.nature | published_or_final_version | en_HK |
dc.identifier.doi | 10.1109/83.846254 | en_HK |
dc.identifier.scopus | eid_2-s2.0-0033688262 | - |
dc.identifier.hkuros | 52926 | - |
dc.identifier.isi | WOS:000087490100016 | - |
dc.identifier.issnl | 1057-7149 | - |