Optimized five-by-five block preconditioning for efficient GMRES convergence in curvature-based image deblurring
From MaRDI portal
Publication:6663367
DOI10.1016/J.CAMWA.2024.09.026MaRDI QIDQ6663367
Publication date: 14 January 2025
Published in: Computers & Mathematics with Applications (Search for Journal in Brave)
Cites Work
- Title not available (Why is that?)
- A new iterative algorithm for mean curvature-based variational image denoising
- Analysis of the convergence properties for a non-linear implicit equilibrium flux method using quasi Newton-Raphson and bicgstab techniques
- Application of an element-by-element BiCGSTAB iterative solver to a monotonic finite element model
- Fractional-order total variation image restoration based on primal-dual algorithm
- Preconditioning techniques for the coupled Stokes-Darcy problem: spectral and field-of-values analysis
- Two new preconditioners for mean curvature-based image deblurring problem
- An effective algorithm for mean curvature-based image deblurring problem
- Analysis of the CCFD method for MC-based image denoising problems
- Shift-splitting preconditioners for saddle point problems
- Revisiting performance of biCGStab methods for solving systems with multiple right-hand sides
- A generalized shift-splitting preconditioner for saddle point problems
- Augmented Lagrangian method for a mean curvature based image denoising model
- Introduction to variational image-processing models and applications
- A splitting preconditioner for saddle point problems
- Image Denoising Using Mean Curvature of Image Surface
- Accelerated Hermitian and skew-Hermitian splitting iteration methods for saddle-point problems
- Bi-CGSTAB: A Fast and Smoothly Converging Variant of Bi-CG for the Solution of Nonsymmetric Linear Systems
- Variants of BICGSTAB for Matrices with Complex Spectrum
- Analysis of bounded variation penalty methods for ill-posed problems
- On Solving Block-Structured Indefinite Linear Systems
- Fast, robust total variation-based reconstruction of noisy, blurred images
- A Preconditioner for Generalized Saddle Point Problems
- A two-level method for image denoising and image deblurring models using mean curvature regularization
- Sparse Stretching for Solving Sparse-Dense Linear Least-Squares Problems
- A Flexible Inner-Outer Preconditioned GMRES Algorithm
- An Augmented Lagrangian‐Based Approach to the Oseen Problem
- A relaxed fixed point method for a mean curvature-based denoising model
- An augmented Lagrangian-based preconditioning technique for a class of block three-by-three linear systems
- A new block preconditioner for weighted Toeplitz regularized least-squares problems
This page was built for publication: Optimized five-by-five block preconditioning for efficient GMRES convergence in curvature-based image deblurring
Report a bug (only for logged in users!)Click here to report a bug for this page (MaRDI item Q6663367)