Efficient Algorithms for Global Optimization Methods in Computer Vision - Lecture Notes in Computer Science
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Published By Springer Berlin Heidelberg

9783642547737, 9783642547744

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Recovering Piecewise Smooth Multichannel Images by Minimization of Convex Functionals with Total Generalized Variation Penalty

Efficient Algorithms for Global Optimization Methods in Computer Vision - Lecture Notes in Computer Science ◽

10.1007/978-3-642-54774-4_3 ◽

2014 ◽

pp. 44-77 ◽

Cited By ~ 26

Author(s):

Kristian Bredies

Keyword(s):

Piecewise Smooth ◽

Total Generalized Variation ◽

Convex Functionals ◽

Multichannel Images ◽

Generalized Variation

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A Geometric Multigrid Solver on Tsubame 2.0

Efficient Algorithms for Global Optimization Methods in Computer Vision - Lecture Notes in Computer Science ◽

10.1007/978-3-642-54774-4_8 ◽

2014 ◽

pp. 155-173 ◽

Cited By ~ 3

Author(s):

Harald Köstler ◽

Christian Feichtinger ◽

Ulrich Rüde ◽

Takayuki Aoki

Keyword(s):

Multigrid Solver ◽

Geometric Multigrid

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Fast Regularization of Matrix-Valued Images

Efficient Algorithms for Global Optimization Methods in Computer Vision - Lecture Notes in Computer Science ◽

10.1007/978-3-642-54774-4_2 ◽

2014 ◽

pp. 19-43 ◽

Cited By ~ 4

Author(s):

Guy Rosman ◽

Yu Wang ◽

Xue-Cheng Tai ◽

Ron Kimmel ◽

Alfred M. Bruckstein

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Half-Quadratic Algorithm for $$\ell _p$$ - $$\ell _q$$ Problems with Applications to TV- $$\ell _1$$ Image Restoration and Compressive Sensing

Efficient Algorithms for Global Optimization Methods in Computer Vision - Lecture Notes in Computer Science ◽

10.1007/978-3-642-54774-4_4 ◽

2014 ◽

pp. 78-103 ◽

Cited By ~ 7

Author(s):

Raymond H. Chan ◽

Hai-Xia Liang

Keyword(s):

Image Restoration ◽

Compressive Sensing

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Dense Elastic 3D Shape Matching

Efficient Algorithms for Global Optimization Methods in Computer Vision - Lecture Notes in Computer Science ◽

10.1007/978-3-642-54774-4_1 ◽

2014 ◽

pp. 1-18

Author(s):

Frank R. Schmidt ◽

Thomas Windheuser ◽

Ulrich Schlickewei ◽

Daniel Cremers

Keyword(s):

Shape Matching ◽

3D Shape ◽

3D Shape Matching

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A Fast Algorithm for a Mean Curvature Based Image Denoising Model Using Augmented Lagrangian Method

Efficient Algorithms for Global Optimization Methods in Computer Vision - Lecture Notes in Computer Science ◽

10.1007/978-3-642-54774-4_5 ◽

2014 ◽

pp. 104-118 ◽

Cited By ~ 2

Author(s):

Wei Zhu ◽

Xue-Cheng Tai ◽

Tony Chan

Keyword(s):

Image Denoising ◽

Fast Algorithm ◽

Mean Curvature ◽

Augmented Lagrangian ◽

Augmented Lagrangian Method ◽

Lagrangian Method

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A Smoothing Descent Method for Nonconvex TV $$^q$$ -Models

Efficient Algorithms for Global Optimization Methods in Computer Vision - Lecture Notes in Computer Science ◽

10.1007/978-3-642-54774-4_6 ◽

2014 ◽

pp. 119-133 ◽

Cited By ~ 1

Author(s):

Michael Hintermüller ◽

Tao Wu

Keyword(s):

Descent Method

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A Fast Continuous Max-Flow Approach to Non-convex Multi-labeling Problems

Efficient Algorithms for Global Optimization Methods in Computer Vision - Lecture Notes in Computer Science ◽

10.1007/978-3-642-54774-4_7 ◽

2014 ◽

pp. 134-154 ◽

Cited By ~ 8

Author(s):

Egil Bae ◽

Jing Yuan ◽

Xue-Cheng Tai ◽

Yuri Boykov

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Efficient Algorithms for Global Optimization Methods in Computer Vision - Lecture Notes in Computer ScienceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer Berlin Heidelberg

Recovering Piecewise Smooth Multichannel Images by Minimization of Convex Functionals with Total Generalized Variation Penalty

A Geometric Multigrid Solver on Tsubame 2.0

Fast Regularization of Matrix-Valued Images

Half-Quadratic Algorithm for $$\ell _p$$ - $$\ell _q$$ Problems with Applications to TV- $$\ell _1$$ Image Restoration and Compressive Sensing

Dense Elastic 3D Shape Matching

A Fast Algorithm for a Mean Curvature Based Image Denoising Model Using Augmented Lagrangian Method

A Smoothing Descent Method for Nonconvex TV $$^q$$ -Models

A Fast Continuous Max-Flow Approach to Non-convex Multi-labeling Problems

Efficient Algorithms for Global Optimization Methods in Computer Vision - Lecture Notes in Computer Science
Latest Publications