RestoVMFB_Lab : Matlab toolbox for image restauration with the Variable Metric Forward-Backward algorithm

This software was developed (or is under development) within the higher education and research community. Its stability can vary (see fields below) and its working state is not guaranteed.
Higher Edu - Research dev card
  • Creation or important update: 06/05/13
  • Minor correction: 06/05/13
  • Index card author: Emilie Chouzenoux (LIGM)
  • Theme leader: Teresa Gomez-Diaz (LIGM)
General software features

This Matlab toolbox allows to restore an image degraded by a linear operator and Gaussian Dependant noise with variance depending linearly on the image. The considered criterion is composed with the neg-log-likelihood of the noise distribution as data fidelity term, the indicator function allowing to constraint the dynamic range and the isotropic total variation favorizing piecewise constant images.

The restoration process uses the Majorize-Minimize Variable Metric Forward-Backward Algorithm.

Context in which the software is used

Image restauration

Publications related to software

E. Chouzenoux, J.-C. Pesquet and A. Repetti. "Variable Metric Forward-Backward Algorithm for Minimizing the Sum of a Differentiable Function and a Convex Function" Submitted, 2013. Available online at