Preconditioning techniques for an image deblurring problem

DOI10.1002/nla.2040zbMath1413.94006OpenAlexW2293223540MaRDI QIDQ2829115

Ke Chen, F. Fairag, Adel M. Al-Mahdi

Publication date: 26 October 2016

Published in: Numerical Linear Algebra with Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/nla.2040

zbMATH Keywords

FFTKrylov subspace methodsaddle-point problemsimage deblurringpreconditioning techniqueTV regularizationBTTB matrixprimal dual formulation

Mathematics Subject Classification ID

Ill-posedness and regularization problems in numerical linear algebra (65F22) Computing methodologies for image processing (68U10) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Related Items (4)

Two new preconditioners for mean curvature-based image deblurring problem ⋮ An effective algorithm for mean curvature-based image deblurring problem ⋮ Two-level method for the total fractional-order variation model in image deblurring problem ⋮ An improved algorithm based on deviation of the error estimation for first-order integro-differential equations

Uses Software

• Matlab

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