An automatic regularization parameter selection algorithm in the total variation model for image deblurring

DOI10.1007/s11075-013-9775-yzbMath1296.68183OpenAlexW2024636891MaRDI QIDQ742848

D. Kharzeev

Publication date: 19 September 2014

Published in: Numerical Algorithms (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11075-013-9775-y

zbMATH Keywords

total variationLagrange multiplierdiscrepancy principleregularization parameterimage deblurringconstrained/unconstrained problem

Mathematics Subject Classification ID

Multigrid methods; domain decomposition for boundary value problems involving PDEs (65N55) Image analysis in multivariate analysis (62H35) Computing methodologies for image processing (68U10) Differential games and control (49N70) Pursuit and evasion games (49N75) Numerical solution of discretized equations for boundary value problems involving PDEs (65N22)

Related Items

Iterative constrained minimization for vectorial TV image deblurring ⋮ Fractional calculus in image processing: a review ⋮ Multiresolution Parameter Choice Method for Total Variation Regularized Tomography ⋮ A Semiblind Regularization Algorithm for Inverse Problems with Application to Image Deblurring ⋮ A new constrained total variational deblurring model and its fast algorithm

Uses Software

• na28

Cites Work

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