Fast Algorithms for l1 Norm/Mixed l1 and l2 Norms for Image Restoration

Image restoration problems are often solved by finding the minimizer of a suitable objective function. Usually this function consists of a data-fitting term and a regularization term. For the least squares solution, both the data-fitting and the regularization terms are in the ℓ2 norm. In this paper...

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Bibliographische Detailangaben

Hauptverfasser:	Fu, Haoying, Ng, Michael K., Nikolova, Mila, Barlow, Jesse, Ching, Wai-ki
Format:	Buchkapitel
Sprache:	eng
Schlagworte:	image restoration interior point method least absolute deviation least mixed norm
Online-Zugang:	Volltext
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