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 ◽

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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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 ◽

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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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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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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Regularization Parameter Selection for Nonlinear Iterative Image Restoration and MRI Reconstruction Using GCV and SURE-Based Methods

IEEE Transactions on Image Processing ◽

10.1109/tip.2012.2195015 ◽

2012 ◽

Vol 21 (8) ◽

pp. 3659-3672 ◽

Author(s):

S. Ramani ◽

Zhihao Liu ◽

J. Rosen ◽

J. Nielsen ◽

J. A. Fessler

Keyword(s):

Image Restoration ◽

Regularization Parameter ◽

Parameter Selection ◽

Mri Reconstruction ◽

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 ◽

Parameter Selection ◽

Detection Task ◽

Complex Image ◽

Sar Imaging ◽

Selection For ◽

Regularization Parameter Selection ◽

Target Detection Task

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Regularization Parameter Selection in Image Restoration with Inverse Gradient: Single Scale or Multiscale?

2018 IEEE Seventh International Conference on Communications and Electronics (ICCE) ◽

10.1109/cce.2018.8465720 ◽

2018 ◽

Author(s):

V. B. Surya Prasath ◽

Dang N. H. Thanh ◽

Nguyen H. Hai

Keyword(s):

Image Restoration ◽

Regularization Parameter ◽

Parameter Selection ◽

Single Scale ◽

Regularization Parameter Selection

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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 ◽

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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Parameter selection for total-variation-based image restoration using discrepancy principle

IEEE Transactions on Image Processing ◽

10.1109/tip.2011.2181401 ◽

2012 ◽

Vol 21 (4) ◽

pp. 1770-1781 ◽

Author(s):

You-Wei Wen ◽

R. H. Chan

Keyword(s):

Image Restoration ◽

Total Variation ◽

Parameter Selection ◽

Discrepancy Principle ◽

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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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