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In this paper, we propose a new method which can remove blocky noises and scratch noises efficiently. Our method employs the idea of robust principal component analysis (RPCA) and uses similar patches from natural images as much as possible. In our method, a matrix is formed whose columns are the patches, which are then decomposed into a noise matrix and a noiseless matrix. Experimental results show...
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...
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