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

18

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3643

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447

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.

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