TV-Regularized Image Denoising

This site contains Matlab software for image denoising with total variation regularization. A variety of algorithms is represented, all of which solve the Rudin-Osher-Fatemi formulation of the denoising problem.

Updated 10/14/2008

Authors

Mingqiang Zhu
Stephen Wright
Tony Chan

Paper

Minqiang Zhu, Stephen J. Wright, and Tony F. Chan, "Duality-Based Algorithms for Total Variation Image Restoration", CAM Report 08-33, UCLA, May 2008. Revised October, 2008.
Zip file containing code and data.
gzipped tarball of code and data.

Updates

See the log of changes for the various releases.

Support

This research was supported by National Science Foundation Grants DMS-0610079, DMS-0427689, CCF-0430504, CTS-0456694, and CNS-0540147. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.