Please use this identifier to cite or link to this item: https://doi.org/10.1109/TIP.2008.2003406
Title: Efficient total variation minimization methods for color image restoration
Authors: Wen, Y.-W. 
Ng, M.K.
Huang, Y.-M.
Keywords: Color image restoration
Deblurring
Denoising
Total variation (TV)
Issue Date: 2008
Citation: Wen, 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
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.
Source Title: IEEE Transactions on Image Processing
URI: http://scholarbank.nus.edu.sg/handle/10635/111387
ISSN: 10577149
DOI: 10.1109/TIP.2008.2003406
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