Regularization Parameter Selection for Total Variation Model Based on Local Spectral Response

Journal of Information Processing Systems ◽

10.3745/jips.02.0072 ◽

2017 ◽

Author(s):

Yuhui Zheng ◽

Kai Ma ◽

Qiqiong Yu ◽

Jianwei Zhang ◽

Jin Wang

Keyword(s):

Total Variation ◽

Regularization Parameter ◽

Spectral Response ◽

Parameter Selection ◽

Model Based ◽

Total Variation Model ◽

Selection For ◽

Regularization Parameter Selection ◽

Variation Model

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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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An automatic regularization parameter selection algorithm in the total variation model for image deblurring

Numerical Algorithms ◽

10.1007/s11075-013-9775-y ◽

2013 ◽

Vol 67 (1) ◽

pp. 73-92 ◽

Cited By ~ 16

Author(s):

K. Chen ◽

E. Loli Piccolomini ◽

F. Zama

Keyword(s):

Total Variation ◽

Regularization Parameter ◽

Image Deblurring ◽

Parameter Selection ◽

Selection Algorithm ◽

Total Variation Model ◽

Regularization Parameter Selection ◽

Variation Model

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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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Parameter Selection of Total Variation Model Based on BP Neural Network

Advances in Applied Mathematics ◽

10.12677/aam.2019.88172 ◽

2019 ◽

Vol 08 (08) ◽

pp. 1471-1477

Author(s):

海广魏

Keyword(s):

Neural Network ◽

Total Variation ◽

Bp Neural Network ◽

Parameter Selection ◽

Model Based ◽

Total Variation Model ◽

Selection Of ◽

Variation Model

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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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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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Total Variation Regularized SENSE Image Reconstruction Based on Improved regularization parameter selection

10.1109/ccdc52312.2021.9602165 ◽

2021 ◽

Author(s):

Chunli Wu ◽

Zhiming Bai

Keyword(s):

Image Reconstruction ◽

Total Variation ◽

Regularization Parameter ◽

Parameter Selection ◽

Regularization Parameter Selection

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Automated Regularization Parameter Selection in Multi-Scale Total Variation Models for Image Restoration

Journal of Mathematical Imaging and Vision ◽

10.1007/s10851-010-0248-9 ◽

2010 ◽

Vol 40 (1) ◽

pp. 82-104 ◽

Cited By ~ 86

Author(s):

Yiqiu Dong ◽

Michael Hintermüller ◽

M. Monserrat Rincon-Camacho

Keyword(s):

Image Restoration ◽

Total Variation ◽

Regularization Parameter ◽

Parameter Selection ◽

Multi Scale ◽

Regularization Parameter Selection

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