Higher-Order Total Directional Variation: Imaging Applications
From MaRDI portal
Publication:5143325
DOI10.1137/19M1239209OpenAlexW3098531162MaRDI QIDQ5143325
S. Parisotto, Carola-Bibiane Schönlieb, Jan Lellmann, Simon Masnou
Publication date: 11 January 2021
Published in: SIAM Journal on Imaging Sciences (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1812.05023
Lua error in Module:PublicationMSCList at line 37: attempt to index local 'msc_result' (a nil value).
Related Items (5)
Regularization graphs—a unified framework for variational regularization of inverse problems ⋮ WARPd: A Linearly Convergent First-Order Primal-Dual Algorithm for Inverse Problems with Approximate Sharpness Conditions ⋮ Higher-Order Total Directional Variation: Analysis ⋮ Sequential image recovery using joint hierarchical Bayesian learning ⋮ On and Beyond Total Variation Regularization in Imaging: The Role of Space Variance
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Nonlinear total variation based noise removal algorithms
- Infimal convolution regularizations with discrete \(\ell_1\)-type functionals
- \(C^1\) regularity for infinity harmonic functions in two dimensions
- Anisotropic total variation filtering
- Bilevel parameter learning for higher-order total variation regularisation models
- Coherence-enhancing diffusion filtering.
- Axioms and fundamental equations of image processing
- Acceleration of the PDHGM on partially strongly convex functions
- Images as embedded maps and minimal surfaces: Movies, color, texture, and volumetric medical images
- A first-order primal-dual algorithm for convex problems with applications to imaging
- A class of quasi-variational inequalities for adaptive image denoising and decomposition
- Directional total generalized variation regularization
- A combined first and second order variational approach for image reconstruction
- Sparse non-negative stencils for anisotropic diffusion
- A note on the gradient of a multi-image
- Multicontrast MRI Reconstruction with Structure-Guided Total Variation
- The Discontinuity Set of Solutions of the TV Denoising Problem and Some Extensions
- Augmented Lagrangian Method, Dual Methods, and Split Bregman Iteration for ROF, Vectorial TV, and High Order Models
- Anisotropic Smoothing Using Double Orientations
- Filling-in by joint interpolation of vector fields and gray levels
- Local Strong Homogeneity of a Regularized Estimator
- High-Order Total Variation-Based Image Restoration
- Adaptive Regularization With the Structure Tensor
- Higher-Order Total Directional Variation: Analysis
- Structure Tensor Total Variation
- An introduction to continuous optimization for imaging
- Total Generalized Variation
This page was built for publication: Higher-Order Total Directional Variation: Imaging Applications
