Inexact Alternating Direction Methods for Image Recovery

In the image processing community, there have recently been many restoration and reconstruction problems that can be reformulated into linearly constrained convex programming models whose objective functions have separable structures. These favorable reformulations have promoted impressive applicati...

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Vydáno v:	SIAM journal on scientific computing Ročník 33; číslo 4; s. 1643 - 1668
Hlavní autoři:	Ng, Michael K., Wang, Fan, Yuan, Xiaoming
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Philadelphia, PA Society for Industrial and Applied Mathematics 01.01.2011
Témata:	Algorithms Applied mathematics Decomposition Exact sciences and technology Fourier transforms Mathematics Methods Methods of scientific computing (including symbolic computation, algebraic computation) Numerical analysis Numerical analysis. Scientific computation Sciences and techniques of general use Alternating direction method 68U10 65K15 Image processing Iteration Convex programming Convergence Exact solution inexact Numerical analysis Scientific computation image restoration 65F22 94A08 65J22 65K10 construction Convex function image re 65J20 compression
ISSN:	1064-8275, 1095-7197
On-line přístup:	Získat plný text
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