On the Kantorovich theorem and the regularization of total variation denoising problems
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Publication:976559
DOI10.1216/RMJ-2010-40-2-595zbMath1194.49039OpenAlexW2019221533MaRDI QIDQ976559
Publication date: 14 June 2010
Published in: Rocky Mountain Journal of Mathematics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1216/rmj-2010-40-2-595
Computing methodologies for image processing (68U10) Newton-type methods (49M15) Regularity of solutions in optimal control (49N60) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)
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Cites Work
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- Nonlinear total variation based noise removal algorithms
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- Numerical Optimization
- Analysis of bounded variation penalty methods for ill-posed problems
- Convergence of an Iterative Method for Total Variation Denoising
- A Variational Method in Image Recovery
- Analysis of regularized total variation penalty methods for denoising
- Optimal Error Bounds for the Newton–Kantorovich Theorem
- Kantorovich Estimates for Some Convex Programs
- Iterative Methods for Total Variation Denoising
- A study in the BV space of a denoising-deblurring variational problem
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