Splines in Higher Order TV Regularization
International Journal of Computer Vision
Augmented Lagrangian Method, Dual Methods and Split Bregman Iteration for ROF Model
SSVM '09 Proceedings of the Second International Conference on Scale Space and Variational Methods in Computer Vision
Properties of Higher Order Nonlinear Diffusion Filtering
Journal of Mathematical Imaging and Vision
Removing Multiplicative Noise by Douglas-Rachford Splitting Methods
Journal of Mathematical Imaging and Vision
A two-step model for image denoising using a duality strategy and surface fitting
Journal of Computational and Applied Mathematics
A unifying approach to isotropic and anisotropic total variation denoising models
Journal of Computational and Applied Mathematics
SIAM Journal on Imaging Sciences
An Anisotropic Fourth-Order Diffusion Filter for Image Noise Removal
International Journal of Computer Vision
A modified fixed-point iterative algorithm for image restoration using fourth-order PDE model
Applied Numerical Mathematics
A cyclic projected gradient method
Computational Optimization and Applications
Nonlinear multigrid method for solving the anisotropic image denoising models
Numerical Algorithms
Homogeneous Penalizers and Constraints in Convex Image Restoration
Journal of Mathematical Imaging and Vision
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In this paper, we apply the dual approach developed by A. Chambolle for the Rudin-Osher-Fatemi model to regularization functionals with higher order derivatives. We emphasize the linear algebra point of view by consequently using matrix-vector notation. Numerical examples demonstrate the differences between various second order regularization approaches.