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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Vydané v:	Proceedings of the ... European Signal Processing Conference (EUSIPCO) s. 1 - 5
Hlavní autori:	Pustelnik, Nelly, Chaux, Caroline, Pesquet, Jean-Christophe
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.08.2008
Predmet:	Convergence Europe Image restoration Inverse problems Noise Signal processing algorithms
ISSN:	2219-5491, 2219-5491
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