Determination of singular value truncation threshold for regularization in ill-posed problems
DOI10.1080/17415977.2020.1832090zbMath1469.65080OpenAlexW3093943079MaRDI QIDQ5152268
Fang Wang, Botao Yang, S. Y. Duan, Gui-Rong Liu
Publication date: 17 September 2021
Published in: Inverse Problems in Science and Engineering (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/17415977.2020.1832090
inverse problemRadon transformill-posed problemsnoise leveltruncation thresholdTSVD regularization method
Numerical computation of eigenvalues and eigenvectors of matrices (65F15) Ill-posedness and regularization problems in numerical linear algebra (65F22) Radon transform (44A12)
Related Items (1)
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Convex image denoising via non-convex regularization with parameter selection
- A new method for TSVD regularization truncated parameter selection
- Regularization tools: A Matlab package for analysis and solution of discrete ill-posed problems
- A non-smooth and non-convex regularization method for limited-angle CT image reconstruction
- Multi-parameter Tikhonov regularization and model function approach to the damped Morozov principle for choosing regularization parameters
- An adaptive pruning algorithm for the discrete L-curve criterion
- Rapid inverse parameter estimation using reduced-basis approximation with asymptotic error estimation
- Computational Inverse Techniques in Nondestructive Evaluation
- Truncated Singular Value Decomposition Solutions to Discrete Ill-Posed Problems with Ill-Determined Numerical Rank
- 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
- Rank-Deficient and Discrete Ill-Posed Problems
- Deep Convolutional Neural Network for Inverse Problems in Imaging
- Linear and Nonlinear Inverse Problems with Practical Applications
- Tubenet: A Special Trumpetnet for Explicit Solutions to Inverse Problems
- FEA-AI and AI-AI: Two-Way Deepnets for Real-Time Computations for Both Forward and Inverse Mechanics Problems
- Ridge Regression: Biased Estimation for Nonorthogonal Problems
- An Iteration Formula for Fredholm Integral Equations of the First Kind
This page was built for publication: Determination of singular value truncation threshold for regularization in ill-posed problems