Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/26959
Title: Color facial image denoising based on rpca and noisy pixel detection
Authors: Yuan, Z
Xie, X
Ma, X
Lam, KM 
Keywords: Image denoising
RPCA
Color facial-image
Noisy pixel detection
Issue Date: 2013
Publisher: IEEE
Source: 2013 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 26-31 May 2013, Vancouver, BC, p. 2449-2453 How to cite?
Abstract: In this paper, a novel approach for color facial-image denoising based on robust principal component analysis (RPCA) [1] in the L*a*b* color space and noisy pixel detection is proposed. Firstly, RPCA is employed for color facial-image recovery in the L*a*b* space. Then, the reconstructed image is used for noisy pixel detection. Finally, the denoised facial-image can be obtained. Experiments are conducted based on the AR database, where our proposed method is compared with several state-of-the-art image-denoising methods. Experimental results show that our method can achieve a better performance in terms of both quantitatively evaluation and visual quality.
URI: http://hdl.handle.net/10397/26959
ISBN: 
ISSN: 1520-6149
DOI: 10.1109/ICASSP.2013.6638095
Appears in Collections:Conference Paper

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