Improved block preconditioners for linear systems arising from half-quadratic image restoration

DOI10.1016/j.amc.2019.124614zbMath1433.94016OpenAlexW2966658216WikidataQ113104201 ScholiaQ113104201MaRDI QIDQ2286141

Hongyi Li, Di Zhao, Chaojie Wang

Publication date: 9 January 2020

Published in: Applied Mathematics and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.amc.2019.124614

zbMATH Keywords

Newton methodHessian matrixblock preconditionershalf-quadratic regularizationapproximate Schur complement

Mathematics Subject Classification ID

Linear-quadratic optimal control problems (49N10) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Preconditioners for iterative methods (65F08)

Related Items (1)

Preconditioning for PDE-constrained optimization with total variation regularization

Cites Work

• Preconditioning Toeplitz-plus-diagonal linear systems using the Sherman-Morrison-Woodbury formula
• On decomposition-based block preconditioned iterative methods for half-quadratic image restoration
• Fast preconditioned iterative methods for finite volume discretization of steady-state space-fractional diffusion equations
• Convex half-quadratic criteria and interacting auxiliary variables for image restoration
• A Note on Constraint Preconditioning
• PARALLEL SOLUTION METHODS AND PRECONDITIONERS FOR EVOLUTION EQUATIONS
• Regularization Parameter Selection for Nonlinear Iterative Image Restoration and MRI Reconstruction Using GCV and SURE-Based Methods
• Analysis of Half-Quadratic Minimization Methods for Signal and Image Recovery

This page was built for publication: Improved block preconditioners for linear systems arising from half-quadratic image restoration