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Article: Lipschitz and total-variational regularization for blind deconvolution
| Title | Lipschitz and total-variational regularization for blind deconvolution |
|---|---|
| Authors | |
| Keywords | Texture Lipschitz regulation Blind deconvolution Alternating iterative algorithm Total variational regularization Poisson singular integral |
| Issue Date | 2008 |
| Citation | Communications in Computational Physics, 2008, v. 4, n. 1, p. 195-206 How to Cite? |
| Abstract | In [3], Chan and Wong proposed to use total variational regularization for both images and point spread functions in blind deconvolution. Their experimental results show that the detail of the restored images cannot be recovered. In this paper, we consider images in Lipschitz spaces, and propose to use Lipschitz regularization for images and total variational regularization for point spread functions in blind deconvolution. Our experimental results show that such combination of Lipschitz and total variational regularization methods can recover both images and point spread functions quite well. © 2008 Global-Science Press. |
| Persistent Identifier | http://hdl.handle.net/10722/276828 |
| ISSN | 2023 Impact Factor: 2.6 2023 SCImago Journal Rankings: 1.176 |
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Huang, Yu Mei | - |
| dc.contributor.author | Ng, Michael K. | - |
| dc.date.accessioned | 2019-09-18T08:34:47Z | - |
| dc.date.available | 2019-09-18T08:34:47Z | - |
| dc.date.issued | 2008 | - |
| dc.identifier.citation | Communications in Computational Physics, 2008, v. 4, n. 1, p. 195-206 | - |
| dc.identifier.issn | 1815-2406 | - |
| dc.identifier.uri | http://hdl.handle.net/10722/276828 | - |
| dc.description.abstract | In [3], Chan and Wong proposed to use total variational regularization for both images and point spread functions in blind deconvolution. Their experimental results show that the detail of the restored images cannot be recovered. In this paper, we consider images in Lipschitz spaces, and propose to use Lipschitz regularization for images and total variational regularization for point spread functions in blind deconvolution. Our experimental results show that such combination of Lipschitz and total variational regularization methods can recover both images and point spread functions quite well. © 2008 Global-Science Press. | - |
| dc.language | eng | - |
| dc.relation.ispartof | Communications in Computational Physics | - |
| dc.subject | Texture | - |
| dc.subject | Lipschitz regulation | - |
| dc.subject | Blind deconvolution | - |
| dc.subject | Alternating iterative algorithm | - |
| dc.subject | Total variational regularization | - |
| dc.subject | Poisson singular integral | - |
| dc.title | Lipschitz and total-variational regularization for blind deconvolution | - |
| dc.type | Article | - |
| dc.description.nature | link_to_subscribed_fulltext | - |
| dc.identifier.scopus | eid_2-s2.0-50049091183 | - |
| dc.identifier.volume | 4 | - |
| dc.identifier.issue | 1 | - |
| dc.identifier.spage | 195 | - |
| dc.identifier.epage | 206 | - |
| dc.identifier.issnl | 1815-2406 | - |