Please use this identifier to cite or link to this item: https://doi.org/10.1109/LSP.2009.2016835
Title: Fast image restoration methods for impulse and Gaussian noises removal
Authors: Huang, Y.-M.
Ng, M.K.
Wen, Y.-W. 
Keywords: Deblurring
Denoising
Gaussian noise
Impulse noise
Total variation
Issue Date: 2009
Citation: Huang, Y.-M., Ng, M.K., Wen, Y.-W. (2009). Fast image restoration methods for impulse and Gaussian noises removal. IEEE Signal Processing Letters 16 (6) : 457-460. ScholarBank@NUS Repository. https://doi.org/10.1109/LSP.2009.2016835
Abstract: In this paper, we study the restoration of blurred images corrupted by impulse noise or mixed impulse plus Gaussian noises. In the proposed method, we use the modified total variation minimization scheme to regularize the deblurred image and fill in suitable values for noisy image pixels where these are detected by median-type filters. An alternating minimization algorithm is employed to solve the proposed total variation minimization problem. Our experimental results show the proposed algorithm is very efficient and the quality of restored images by the proposed method is competitive with those restored by the existing variational image restoration methods. © 2009 IEEE.
Source Title: IEEE Signal Processing Letters
URI: http://scholarbank.nus.edu.sg/handle/10635/117015
ISSN: 10709908
DOI: 10.1109/LSP.2009.2016835
Appears in Collections:Staff Publications

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