Please use this identifier to cite or link to this item: https://doi.org/10.1109/TIP.2008.2003406
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dc.titleEfficient total variation minimization methods for color image restoration
dc.contributor.authorWen, Y.-W.
dc.contributor.authorNg, M.K.
dc.contributor.authorHuang, Y.-M.
dc.date.accessioned2014-11-28T01:51:38Z
dc.date.available2014-11-28T01:51:38Z
dc.date.issued2008
dc.identifier.citationWen, Y.-W., Ng, M.K., Huang, Y.-M. (2008). Efficient total variation minimization methods for color image restoration. IEEE Transactions on Image Processing 17 (11) : 2081-2088. ScholarBank@NUS Repository. https://doi.org/10.1109/TIP.2008.2003406
dc.identifier.issn10577149
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/111387
dc.description.abstractIn 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.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/TIP.2008.2003406
dc.sourceScopus
dc.subjectColor image restoration
dc.subjectDeblurring
dc.subjectDenoising
dc.subjectTotal variation (TV)
dc.typeArticle
dc.contributor.departmentTEMASEK LABORATORIES
dc.description.doi10.1109/TIP.2008.2003406
dc.description.sourcetitleIEEE Transactions on Image Processing
dc.description.volume17
dc.description.issue11
dc.description.page2081-2088
dc.description.codenIIPRE
dc.identifier.isiut000260465200008
Appears in Collections:Staff Publications

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