A constrained forward-backward algorithm for image recovery problems

In the solution of inverse problems, the objective is often to minimize the sum of two convex functions f and g subject to convex constraints. Recently, many works have been devoted to this problem in the unconstrained case, when f is possibly non-smooth and g is differentiable with a Lipschitz-cont...

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Veröffentlicht in:	Proceedings of the ... European Signal Processing Conference (EUSIPCO) S. 1 - 5
Hauptverfasser:	Pustelnik, Nelly, Chaux, Caroline, Pesquet, Jean-Christophe
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.08.2008
Schlagworte:	Convergence Europe Image restoration Inverse problems Noise Signal processing algorithms
ISSN:	2219-5491, 2219-5491
Online-Zugang:	Volltext
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