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|Title:||A fast total variation minimization method for image restoration||Authors:||Huang, Y.
|Issue Date:||2008||Citation:||Huang, Y., Ng, M.K., Wen, Y.-W. (2008). A fast total variation minimization method for image restoration. Multiscale Modeling and Simulation 7 (2) : 774-795. ScholarBank@NUS Repository. https://doi.org/10.1137/070703533||Abstract:||In this paper, we study a fast total variation minimization method for image restoration. In the proposed method, we use the modified total variation minimization scheme to denoise the deblurred image. An alternating minimization algorithm is employed to solve the proposed total variation minimization problem. Our experimental results show that the quality of restored images by the proposed method is competitive with those restored by the existing total variation restoration methods. We show the convergence of the alternating minimization algorithm and demonstrate that thealgorithm is very efficient. © 2008 Society for Industrial and applied Mathematics.||Source Title:||Multiscale Modeling and Simulation||URI:||http://scholarbank.nus.edu.sg/handle/10635/114978||ISSN:||15403459||DOI:||10.1137/070703533|
|Appears in Collections:||Staff Publications|
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