An Infeasible Primal-Dual Algorithm for Total Bounded Variation--Based Inf-Convolution-Type Image Restoration

Authors:
M. Hintermüller;G. Stadler
Affiliations:
-;-
Venue:
SIAM Journal on Scientific Computing
Year:
2006

Citing 0
Cited 16

Convex Multi-class Image Labeling by Simplex-Constrained Total Variation

SSVM '09 Proceedings of the Second International Conference on Scale Space and Variational Methods in Computer Vision
Multi-scale Total Variation with Automated Regularization Parameter Selection for Color Image Restoration

SSVM '09 Proceedings of the Second International Conference on Scale Space and Variational Methods in Computer Vision
Robust solvers for inverse imaging problems using dense single-precision hardware

Journal of Mathematical Imaging and Vision
A Variational Approach to Semiautomatic Generation of Digital Terrain Models

ISVC '09 Proceedings of the 5th International Symposium on Advances in Visual Computing: Part II
Fast gradient-based algorithms for constrained total variation image denoising and deblurring problems

IEEE Transactions on Image Processing
Numerical simulation of two-dimensional Bingham fluid flow by semismooth Newton methods

Journal of Computational and Applied Mathematics
An efficient two-phase L1-TV method for restoring blurred images with impulse noise

IEEE Transactions on Image Processing
Duality-based algorithms for total-variation-regularized image restoration

Computational Optimization and Applications
A Multilevel Algorithm for Simultaneously Denoising and Deblurring Images

SIAM Journal on Scientific Computing
Solving Constrained Total-variation Image Restoration and Reconstruction Problems via Alternating Direction Methods

SIAM Journal on Scientific Computing
A Multi-Scale Vectorial Lτ-TV Framework for Color Image Restoration

International Journal of Computer Vision
Automated Regularization Parameter Selection in Multi-Scale Total Variation Models for Image Restoration

Journal of Mathematical Imaging and Vision
Total variation regularization for the reconstruction of a mountain topography

Applied Numerical Mathematics
A General Framework for a Class of First Order Primal-Dual Algorithms for Convex Optimization in Imaging Science

SIAM Journal on Imaging Sciences
Augmented Lagrangian Method for Generalized TV-Stokes Model

Journal of Scientific Computing
Bregmanized Domain Decomposition for Image Restoration

Journal of Scientific Computing

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, a primal-dual algorithm for total bounded variation (TV)--type image restoration is analyzed and tested. Analytically it turns out that employing a global $\boldsymbol{L}^s$-regularization, with $1