Rudin-Osher-Fatemi Total Variation Denoising using Split Bregman

By Getreuer Pascal
Image Processing On Line (2012)

  • Pascal Getreuer

    ENS Cachan

    France

Created

November 6, 2013

Last update

November 6, 2013

Software

C

Ranking

14

Visits

4909

Downloads

518

Description

This C source code accompanies with Image Processing On Line (IPOL) article "Rudin-Osher-Fatemi Total Variation Denoising using Split Bregman" at http://www.ipol.im/pub/algo/g_tv_denoising/ Total variation (TV) regularization is a technique for edge-preserving image restoration introduced by Rudin, Osher, and Fatemi. This code implements the TV image denoising model using the fast split Bregman algorithm of Goldstein and Osher. Three different noise models are supported (Gaussian, Laplace, and Poisson) for both grayscale and color images. Please see the readme.txt file inside for details.

On Reduced Input-Output Dynamic Mode Decomposition

Working Paper (2017)

Himpe Christian, Benner Peter, and Mitchell Tim

Fast Low-Rank Empirical Cross Gramians

Working Paper (2017)

Himpe Christian, Leibner Tobias, Rave Stephan, and Saak Jens

emgr - The Empirical Gramian Framework

Working Paper (2018)

Himpe Christian

Cross-Gramian-Based Model Reduction: A Comparison

Working Paper (2016)

Himpe Christian and Ohlberger Mario

Parareal in Time Intermediate Targets Methods for Optimal Control Problems

International Series of Numerical Mathematics (2013)

Mohamed Kamel Riahi, Maday Yvon, and Julien salomon

The Empirical Cross Gramian for Parametrized Nonlinear Systems

Working Paper (2015)

Himpe Christian and Ohlberger Mario

A Note on the Cross Gramian for Non-Symmetric Systems

Working Paper (2015)

Himpe Christian and Ohlberger Mario

Data-Driven Combined State and Parameter Reduction for Inverse Problems

Working Paper (2014)

Himpe Christian and Ohlberger Mario

Model Reduction for Complex Hyperbolic Networks

arXiv (2013)

Himpe Christian and Ohlberger Mario

0 comment

Add comment

You need to log in to post a comment.