Using generalized cross validation to select regularization parameter for total variation regularization problems
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Publication:1785029
DOI10.3934/ipi.2018046zbMath1405.94021OpenAlexW2886866418MaRDI QIDQ1785029
You-Wei Wen, Raymond Honfu Chan
Publication date: 27 September 2018
Published in: Inverse Problems and Imaging (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.3934/ipi.2018046
Ill-posedness and regularization problems in numerical linear algebra (65F22) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)
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Cites Work
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- Nonlinear total variation based noise removal algorithms
- A cross validated Bayesian retrieval algorithm for nonlinear remote sensing experiments
- Adaptive total variation image deblurring: a majorization-minimization approach
- Smoothing noisy data with spline functions: Estimating the correct degree of smoothing by the method of generalized cross-validation
- A first-order primal-dual algorithm for convex problems with applications to imaging
- The fast Monte-Carlo cross-validation and \(C_L\) procedures: Comments, new results and application to image recovery problems. (With discussions)
- A GCV based method for nonlinear ill-posed problems
- Constrained and SNR-based solutions for TV-Hilbert space image denoising
- Solving Constrained Total-variation Image Restoration and Reconstruction Problems via Alternating Direction Methods
- An alternating extragradient method for total variation-based image restoration from Poisson data
- An EM algorithm for wavelet-based image restoration
- Efficient Schemes for Total Variation Minimization Under Constraints in Image Processing
- Generalized Cross-Validation as a Method for Choosing a Good Ridge Parameter
- Analysis of Discrete Ill-Posed Problems by Means of the L-Curve
- The Use of the L-Curve in the Regularization of Discrete Ill-Posed Problems
- Efficient generalized cross-validation with applications to parametric image restoration and resolution enhancement
- An iterative thresholding algorithm for linear inverse problems with a sparsity constraint
- A Fast Algorithm for Deblurring Models with Neumann Boundary Conditions
- Modular solvers for image restoration problems using the discrepancy principle
- Variational Bayesian Blind Deconvolution Using a Total Variation Prior
- An Augmented Lagrangian Approach to the Constrained Optimization Formulation of Imaging Inverse Problems
- A Primal–Dual Method for Total-Variation-Based Wavelet Domain Inpainting
- Parameter selection for total-variation-based image restoration using discrepancy principle
- Regularization Parameter Selection for Nonlinear Iterative Image Restoration and MRI Reconstruction Using GCV and SURE-Based Methods
