Non-convex Total Variation Regularization for Convex Denoising of Signals

Total variation (TV) signal denoising is a popular nonlinear filtering method to estimate piecewise constant signals corrupted by additive white Gaussian noise. Following a ‘convex non-convex’ strategy, recent papers have introduced non-convex regularizers for signal denoising that preserve the conv...

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Veröffentlicht in:	Journal of mathematical imaging and vision Jg. 62; H. 6-7; S. 825 - 841
Hauptverfasser:	Selesnick, Ivan, Lanza, Alessandro, Morigi, Serena, Sgallari, Fiorella
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.07.2020 Springer Nature B.V
Schlagworte:	Algorithms Applications of Mathematics Computer Science Convexity Cost function Image Processing and Computer Vision Mathematical Methods in Physics Noise reduction Parameters Random noise Regularization Signal,Image and Speech Processing Forward-backward splitting algorithm Signal denoising Total variation regularization Convex non-convex regularization
ISSN:	0924-9907, 1573-7683
Online-Zugang:	Volltext
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