Mathematical analysis of a inf-convolution model for image processing
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Publication:255056
DOI10.1007/s10957-015-0734-8zbMath1332.65030OpenAlexW2082119558MaRDI QIDQ255056
F. Blanchet-Sadri, M. Dambrine
Publication date: 9 March 2016
Published in: Journal of Optimization Theory and Applications (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10957-015-0734-8
Numerical optimization and variational techniques (65K10) Computing methodologies for image processing (68U10) Numerical aspects of computer graphics, image analysis, and computational geometry (65D18)
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Cites Work
- Nonlinear total variation based noise removal algorithms
- Regularization of linear inverse problems with total generalized variation
- Fonctions à hessien borné
- A second-order model for image denoising
- Uniform density estimates for Blake \& Zisserman functional
- Properties of \(L^{1}-TGV^{2}\) : The one-dimensional case
- Subdifferential calculus using \(\varepsilon\)-subdifferentials
- Image recovery via total variation minimization and related problems
- Modeling textures with total variation minimization and oscillating patterns in image processing
- Image denoising and decomposition with total variation minimization and oscillatory functions
- An algorithm for total variation minimization and applications
- Free gradient discontinuity and image inpainting
- A full second order variational model for multiscale texture analysis
- Modeling very oscillating signals. Application to image processing
- Image decomposition into a bounded variation component and an oscillating component
- Variational Approximation of a Second Order Free Discontinuity Problem in Computer Vision
- Variational Analysis in Sobolev andBVSpaces
- The Discontinuity Set of Solutions of the TV Denoising Problem and Some Extensions
- Image Decomposition and Restoration Using Total Variation Minimization and theH1
- Structural Properties of Solutions to Total Variation Regularization Problems
- Total Generalized Variation
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