A multiplicative iterative algorithm for box-constrained penalized likelihood image restoration

Image restoration is a computationally intensive problem as a large number of pixel values have to be determined. Since the pixel values of digital images can attain only a finite number of values (e.g., 8-bit images can have only 256 gray levels), one would like to recover an image within some dyna...

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Publié dans:IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 21(2012), 7 vom: 01. Juli, Seite 3168-81
Auteur principal: Chan, Raymond H (Auteur)
Autres auteurs: Ma, Jun
Format: Article en ligne
Langue:English
Publié: 2012
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