Image denoising using scale mixtures of Gaussians in the wavelet domain

We describe a method for removing noise from digital images, based on a statistical model of the coefficients of an overcomplete multiscale oriented basis. Neighborhoods of coefficients at adjacent positions and scales are modeled as the product of two independent random variables: a Gaussian vector...

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Publié dans:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 12(2003), 11 vom: 15., Seite 1338-51
Auteur principal:	Portilla, Javier (Auteur)
Autres auteurs:	Strela, Vasily, Wainwright, Martin J, Simoncelli, Eero P
Format:	Article en ligne
Langue:	English
Publié:	2003
Accès à la collection:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Sujets:	Journal Article