Framelet algorithms for de-blurring images corrupted by impulse plus Gaussian noise

This paper studies a problem of image restoration that observed images are contaminated by Gaussian and impulse noise. Existing methods for this problem in the literature are based on minimizing an objective functional having the l(1) fidelity term and the Mumford-Shah regularizer. We present an alg...

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Publié dans:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 20(2011), 7 vom: 26. Juli, Seite 1822-37
Auteur principal:	Li, Yan-Ran (Auteur)
Autres auteurs:	Shen, Lixin, Dai, Dao-Qing, Suter, Bruce W
Format:	Article en ligne
Langue:	English
Publié:	2011
Accès à la collection:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Sujets:	Journal Article Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S.