Optimal selection of regularization parameter for ℓ1-based image restoration based on SURE

Mapping Intimacies ◽

10.1117/12.2243870 ◽

2016 ◽

Author(s):

Feng Xue ◽

Xin Liu ◽

Hongyan Liu ◽

Jiaqi Liu

Keyword(s):

Image Restoration ◽

Regularization Parameter ◽

Optimal Selection ◽

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Minimum residual method based optimal selection of regularization parameter in image restoration

2016 International Conference on Signal and Information Processing (IConSIP) ◽

10.1109/iconsip.2016.7857439 ◽

2016 ◽

Author(s):

Yamuna Narayana Swamy ◽

Phaneendra K. Yalavarthy

Keyword(s):

Image Restoration ◽

Regularization Parameter ◽

Optimal Selection ◽

Residual Method ◽

Minimum Residual ◽

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Selection of regularization parameter based on synchronous noise in total variation image restoration

10.1117/12.896086 ◽

2011 ◽

Author(s):

Peng Liu ◽

Dingsheng Liu ◽

Zhiwen Liu

Keyword(s):

Image Restoration ◽

Total Variation ◽

Regularization Parameter ◽

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Selection of regularization parameter based on generalized cross-validation in total variation remote sensing image restoration

10.1117/12.868615 ◽

2010 ◽

Author(s):

Peng Liu ◽

Dingsheng Liu

Keyword(s):

Remote Sensing ◽

Image Restoration ◽

Total Variation ◽

Cross Validation ◽

Regularization Parameter ◽

Remote Sensing Image ◽

Generalized Cross Validation ◽

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SURE-based optimal selection of regularization parameter for total variation deconvolution

2017 6th International Conference on Industrial Technology and Management (ICITM) ◽

10.1109/icitm.2017.7917917 ◽

2017 ◽

Author(s):

Feng Xue ◽

Peng Liu ◽

Jiaqi Liu ◽

Xin Liu ◽

Hongyan Liu

Keyword(s):

Total Variation ◽

Regularization Parameter ◽

Optimal Selection ◽

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An Iterative Blind Deconvolution Image Restoration Algorithm Based on Adaptive Selection of Regularization Parameter

2009 Third International Symposium on Intelligent Information Technology Application ◽

10.1109/iita.2009.57 ◽

2009 ◽

Author(s):

Sun Qi ◽

Hongzhi Wang ◽

Lu Wei

Keyword(s):

Image Restoration ◽

Blind Deconvolution ◽

Regularization Parameter ◽

Adaptive Selection ◽

Restoration Algorithm ◽

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Selection of regularization parameter in total variation image restoration

Journal of the Optical Society of America A ◽

10.1364/josaa.26.002311 ◽

2009 ◽

Vol 26 (11) ◽

pp. 2311 ◽

Author(s):

Haiyong Liao ◽

Fang Li ◽

Michael K. Ng

Keyword(s):

Image Restoration ◽

Total Variation ◽

Regularization Parameter ◽

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Erratum to: Optimal selection of regularization parameter in total variation method for reducing noise in magnetic resonance images of the brain

Biomedical Engineering Letters ◽

10.1007/s13534-014-0141-3 ◽

2014 ◽

Vol 4 (2) ◽

pp. 194-194

Author(s):

Osadebey Michael ◽

◽

Nizar Bouguila ◽

Douglas Arnold

Keyword(s):

Magnetic Resonance ◽

Total Variation ◽

Regularization Parameter ◽

Magnetic Resonance Images ◽

Variation Method ◽

Optimal Selection ◽

The Brain ◽

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Optimal Selection of the Regularization Parameter for Optical Topography Image Reconstruction

10.1364/biomed.2008.bsue49 ◽

2008 ◽

Author(s):

Teresa Correia ◽

Adam Gibson ◽

Jeremy Hebden

Keyword(s):

Image Reconstruction ◽

Regularization Parameter ◽

Optimal Selection ◽

Optical Topography ◽

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Optimal selection of regularization parameter in total variation method for reducing noise in magnetic resonance images of the brain

Biomedical Engineering Letters ◽

10.1007/s13534-014-0126-2 ◽

2014 ◽

Vol 4 (1) ◽

pp. 80-92 ◽

Author(s):

Michael Osadebey ◽

◽

Nizar Bouguila ◽

Douglas Arnold

Keyword(s):

Magnetic Resonance ◽

Total Variation ◽

Regularization Parameter ◽

Magnetic Resonance Images ◽

Variation Method ◽

Optimal Selection ◽

The Brain ◽

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Optimal selection of sensor network and backed-off operating point based on economics

2013 European Control Conference (ECC) ◽

10.23919/ecc.2013.6669516 ◽

2013 ◽

Author(s):

Nabil Magbool Jan ◽

Sigurd Skogestad ◽

Sridharakumar Narasimhan

Keyword(s):

Sensor Network ◽

Operating Point ◽

Optimal Selection ◽

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