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- Publisher Website: 10.1109/TIP.2008.2003406
- Scopus: eid_2-s2.0-54949087856
- PMID: 18972651
- WOS: WOS:000260465200008
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Article: Efficient total variation minimization methods for color image restoration
Title | Efficient total variation minimization methods for color image restoration |
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Authors | |
Keywords | Total variation (TV) Denoising Deblurring Color image restoration |
Issue Date | 2008 |
Citation | IEEE Transactions on Image Processing, 2008, v. 17, n. 11, p. 2081-2088 How to Cite? |
Abstract | In this paper, we consider and study a total variation minimization model for color image restoration. In the proposed model, we use the color total variation minimization scheme to denoise the deblurred color image. An alternating minimization algorithm is employed to solve the proposed total variation minimization problem. We show the convergence of the alternating minimization algorithm and demonstrate that the algorithm is very efficient. Our experimental results show that the quality of restored color images by the proposed method are competitive with the other tested methods. © 2008 IEEE. |
Persistent Identifier | http://hdl.handle.net/10722/276830 |
ISSN | 2023 Impact Factor: 10.8 2023 SCImago Journal Rankings: 3.556 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Wen, You Wei | - |
dc.contributor.author | Ng, Michael K. | - |
dc.contributor.author | Huang, Yu Mei | - |
dc.date.accessioned | 2019-09-18T08:34:47Z | - |
dc.date.available | 2019-09-18T08:34:47Z | - |
dc.date.issued | 2008 | - |
dc.identifier.citation | IEEE Transactions on Image Processing, 2008, v. 17, n. 11, p. 2081-2088 | - |
dc.identifier.issn | 1057-7149 | - |
dc.identifier.uri | http://hdl.handle.net/10722/276830 | - |
dc.description.abstract | In this paper, we consider and study a total variation minimization model for color image restoration. In the proposed model, we use the color total variation minimization scheme to denoise the deblurred color image. An alternating minimization algorithm is employed to solve the proposed total variation minimization problem. We show the convergence of the alternating minimization algorithm and demonstrate that the algorithm is very efficient. Our experimental results show that the quality of restored color images by the proposed method are competitive with the other tested methods. © 2008 IEEE. | - |
dc.language | eng | - |
dc.relation.ispartof | IEEE Transactions on Image Processing | - |
dc.subject | Total variation (TV) | - |
dc.subject | Denoising | - |
dc.subject | Deblurring | - |
dc.subject | Color image restoration | - |
dc.title | Efficient total variation minimization methods for color image restoration | - |
dc.type | Article | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1109/TIP.2008.2003406 | - |
dc.identifier.pmid | 18972651 | - |
dc.identifier.scopus | eid_2-s2.0-54949087856 | - |
dc.identifier.volume | 17 | - |
dc.identifier.issue | 11 | - |
dc.identifier.spage | 2081 | - |
dc.identifier.epage | 2088 | - |
dc.identifier.isi | WOS:000260465200008 | - |
dc.identifier.issnl | 1057-7149 | - |