Spatially dependent regularization parameter selection for total generalized variation-based image denoising

Tian-Hui Ma; Ting-Zhu Huang; Xi-Le Zhao

doi:10.1007/s40314-016-0342-8

Spatially dependent regularization parameter selection for total generalized variation-based image denoising

Computational and Applied Mathematics ◽

10.1007/s40314-016-0342-8 ◽

2016 ◽

Vol 37 (1) ◽

pp. 277-296 ◽

Cited By ~ 3

Author(s):

Tian-Hui Ma ◽

Ting-Zhu Huang ◽

Xi-Le Zhao

Keyword(s):

Image Denoising ◽

Regularization Parameter ◽

Parameter Selection ◽

Total Generalized Variation ◽

Selection For ◽

Generalized Variation ◽

Regularization Parameter Selection

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Regularization Parameter Selection for Gaussian Mixture Model Based Image Denoising Method

Advances in Computer Science and Ubiquitous Computing - Lecture Notes in Electrical Engineering ◽

10.1007/978-981-10-3023-9_47 ◽

2016 ◽

pp. 291-297

Author(s):

J. W. Zhang ◽

J. Liu ◽

Y. H. Zheng ◽

J. Wang

Keyword(s):

Image Denoising ◽

Gaussian Mixture Model ◽

Mixture Model ◽

Regularization Parameter ◽

Gaussian Mixture ◽

Parameter Selection ◽

Denoising Method ◽

Model Based ◽

Selection For ◽

Regularization Parameter Selection

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Spatially dependent regularization parameter selection in total generalized variation models for image restoration

International Journal of Computer Mathematics ◽

10.1080/00207160.2012.700400 ◽

2013 ◽

Vol 90 (1) ◽

pp. 109-123 ◽

Cited By ~ 40

Author(s):

Kristian Bredies ◽

Yiqiu Dong ◽

Michael Hintermüller

Keyword(s):

Image Restoration ◽

Regularization Parameter ◽

Parameter Selection ◽

Total Generalized Variation ◽

Generalized Variation ◽

Regularization Parameter Selection

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L1/2 Regularization Sar Imaging Via Complex Image Data: Regularization Parameter Selection for Target Detection Task

IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium ◽

10.1109/igarss.2018.8519138 ◽

2018 ◽

Author(s):

Jia-cheng Ni ◽

Qun Zhang ◽

Ling-hua Su ◽

Jia Liang ◽

Wen-jun Huo

Keyword(s):

Target Detection ◽

Regularization Parameter ◽

Image Data ◽

Parameter Selection ◽

Detection Task ◽

Complex Image ◽

Sar Imaging ◽

Selection For ◽

Regularization Parameter Selection ◽

Target Detection Task

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On the Regularization Parameter Selection for Sparse Code Learning in Electrical Source Separation

Adaptive and Natural Computing Algorithms - Lecture Notes in Computer Science ◽

10.1007/978-3-642-37213-1_29 ◽

2013 ◽

pp. 277-286 ◽

Cited By ~ 3

Author(s):

Marisa Figueiredo ◽

Bernardete Ribeiro ◽

Ana Maria de Almeida

Keyword(s):

Regularization Parameter ◽

Source Separation ◽

Parameter Selection ◽

Sparse Code ◽

Selection For ◽

Regularization Parameter Selection ◽

Electrical Source

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Regularization Parameter Selection for Penalized Empirical Likelihood Estimator

SSRN Electronic Journal ◽

10.2139/ssrn.3177880 ◽

2018 ◽

Author(s):

Tomohiro Ando ◽

Naoya Sueishi

Keyword(s):

Empirical Likelihood ◽

Regularization Parameter ◽

Parameter Selection ◽

Likelihood Estimator ◽

Selection For ◽

Regularization Parameter Selection ◽

Penalized Empirical Likelihood

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Multi-scale Total Variation with Automated Regularization Parameter Selection for Color Image Restoration

Lecture Notes in Computer Science - Scale Space and Variational Methods in Computer Vision ◽

10.1007/978-3-642-02256-2_23 ◽

2009 ◽

pp. 271-281 ◽

Cited By ~ 11

Author(s):

Yiqiu Dong ◽

Michael Hintermüller

Keyword(s):

Image Restoration ◽

Total Variation ◽

Color Image ◽

Regularization Parameter ◽

Parameter Selection ◽

Multi Scale ◽

Selection For ◽

Regularization Parameter Selection

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Regularization parameter selection for Bayesian reconstruction of attenuation map

1998 IEEE Nuclear Science Symposium Conference Record. 1998 IEEE Nuclear Science Symposium and Medical Imaging Conference (Cat. No.98CH36255) ◽

10.1109/nssmic.1998.773847 ◽

2002 ◽

Author(s):

V.Y. Panin ◽

G.L. Zeng ◽

G.T. Gullberg

Keyword(s):

Regularization Parameter ◽

Parameter Selection ◽

Bayesian Reconstruction ◽

Attenuation Map ◽

Selection For ◽

Regularization Parameter Selection

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Information complexity-based regularization parameter selection for solution of ill conditioned inverse problems

Inverse Problems ◽

10.1088/0266-5611/18/2/101 ◽

2002 ◽

Vol 18 (2) ◽

pp. L1-L9 ◽

Cited By ~ 12

Author(s):

A M Urmanov ◽

A V Gribok ◽

H Bozdogan ◽

J W Hines ◽

R E Uhrig

Keyword(s):

Inverse Problems ◽

Regularization Parameter ◽

Parameter Selection ◽

Information Complexity ◽

Selection For ◽

Regularization Parameter Selection

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Regularization parameter selection for Bayesian reconstruction of attenuation maps

IEEE Transactions on Nuclear Science ◽

10.1109/23.873026 ◽

2000 ◽

Vol 47 (4) ◽

pp. 1625-1633 ◽

Cited By ~ 7

Author(s):

V.Y. Panin ◽

G.L. Zeng ◽

G.T. Gullberg

Keyword(s):

Regularization Parameter ◽

Parameter Selection ◽

Bayesian Reconstruction ◽

Selection For ◽

Regularization Parameter Selection

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Spectral Response Based Regularization Parameter Selection for Total Variation Image Restoration

Lecture Notes in Electrical Engineering - Advanced Multimedia and Ubiquitous Engineering ◽

10.1007/978-981-10-5041-1_101 ◽

2017 ◽

pp. 640-645

Author(s):

Yuhui Zheng ◽

Min Li ◽

Kai Ma ◽

Shunfeng Wang ◽

Jin Wang

Keyword(s):

Image Restoration ◽

Total Variation ◽

Regularization Parameter ◽

Spectral Response ◽

Parameter Selection ◽

Selection For ◽

Regularization Parameter Selection

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