tvreg: Variational Imaging Methods

For image restoration problems, three different noise models are supported: additive white Gaussian noise (traditional L2 data fidelity), impulsive noise (L1 data fidelity), and Poisson.

The problems can be solved using the recent split Bregman method.

Also included is an efficient MEX implementation of Chan-Vese two-phase segmentation. All functions support grayscale, color, and arbitrary multichannel images.

Requirements:

· MATLAB 7.5 or higher