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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Veröffentlicht in:	SIAM journal on scientific computing Jg. 33; H. 4; S. 1643 - 1668
Hauptverfasser:	Ng, Michael K., Wang, Fan, Yuan, Xiaoming
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Philadelphia, PA Society for Industrial and Applied Mathematics 01.01.2011
Schlagworte:	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
Online-Zugang:	Volltext
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