Augmented Lagrangian method for TV-\(l_1\)-\(l_2\) based colour image restoration
DOI10.1016/j.cam.2018.09.053zbMath1432.94017OpenAlexW2904054353WikidataQ113103581 ScholiaQ113103581MaRDI QIDQ2423568
Poom Kumam, Juan Martínez Moreno, Anantachai Padcharoen
Publication date: 20 June 2019
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.2018.09.053
image restorationaugmented Lagrangianconvex minimization problemimage recovery problemstotal variation(TV)
Convex programming (90C25) Semigroups of nonlinear operators (47H20) Monotone operators and generalizations (47H05) Iterative procedures involving nonlinear operators (47J25) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Decomposition methods (49M27) Discrete approximations in optimal control (49M25) Numerical methods of relaxation type (49M20) Linear operators and ill-posed problems, regularization (47A52)
Related Items (10)
Cites Work
- Unnamed Item
- Nonlinear total variation based noise removal algorithms
- Iterative methods for fixed point problems in Hilbert spaces
- Augmented Lagrangian method for total generalized variation based Poissonian image restoration
- A Two-Stage Image Segmentation Method Using a Convex Variant of the Mumford--Shah Model and Thresholding
- Optimal approximations by piecewise smooth functions and associated variational problems
- An Augmented Lagrangian Method for Total Variation Video Restoration
- Convex Analysis
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