Mixed Noise Removal via Laplacian Scale Mixture Modeling and Nonlocal Low-Rank Approximation

Recovering the image corrupted by additive white Gaussian noise (AWGN) and impulse noise is a challenging problem due to its difficulties in an accurate modeling of the distributions of the mixture noise. Many efforts have been made to first detect the locations of the impulse noise and then recover...

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Publié dans:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 26(2017), 7 vom: 15. Juli, Seite 3171-3186
Auteur principal:	Huang, Tao (Auteur)
Autres auteurs:	Dong, Weisheng, Xie, Xuemei, Shi, Guangming, Bai, Xiang
Format:	Article en ligne
Langue:	English
Publié:	2017
Accès à la collection:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Sujets:	Journal Article