A weighted dictionary learning model for denoising images corrupted by mixed noise

This paper proposes a general weighted l(2)-l(0) norms energy minimization model to remove mixed noise such as Gaussian-Gaussian mixture, impulse noise, and Gaussian-impulse noise from the images. The approach is built upon maximum likelihood estimation framework and sparse representations over a t...

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Publié dans:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 22(2013), 3 vom: 26. März, Seite 1108-20
Auteur principal:	Liu, Jun (Auteur)
Autres auteurs:	Tai, Xue-Cheng, Huang, Haiyang, Huan, Zhongdan
Format:	Article en ligne
Langue:	English
Publié:	2013
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