A global Lanczos method for image restoration
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Publication:5964607
DOI10.1016/j.cam.2015.12.034zbMath1382.94009OpenAlexW2232793493WikidataQ113103584 ScholiaQ113103584MaRDI QIDQ5964607
Khalide Jbilou, Abdeslem Hafid Bentbib, Lothar Reichel, M. El Guide
Publication date: 29 February 2016
Published in: Journal of Computational and Applied Mathematics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.cam.2015.12.034
Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Iterative numerical methods for linear systems (65F10)
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Uses Software
Cites Work
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- Oblique projection methods for linear systems with multiple right-hand sides
- Matrices, moments, and rational quadrature
- Kronecker product and SVD approximations in image restoration
- Quadratically constrained least squares and quadratic problems
- Tikhonov regularization with nonnegativity constraint
- Modeling and inverse problems in image analysis. Transl. from the French
- Old and new parameter choice rules for discrete ill-posed problems
- Estimation of the \(L\)-curve via Lanczos bidiagonalization
- Convergence analysis of minimization-based noise level-free parameter choice rules for linear ill-posed problems
- Regularization tools version \(4.0\) for matlab \(7.3\)
- Global least squares method (Gl-LSQR) for solving general linear systems with several right-hand sides
- A Trust-Region Approach to the Regularization of Large-Scale Discrete Forms of Ill-Posed Problems
- Deblurring Images
- Kronecker Product Approximations forImage Restoration with Reflexive Boundary Conditions
- Tikhonov Regularization with a Solution Constraint
- An interior-point trust-region-based method for large-scale non-negative regularization
