Split Bregman method for Total Variation Denoising

Implement the split Bregman method for total variation denoising

These files implement the split Bregman method for total variation denoising. It solves the optmisation problem:

u = arg min_u 1/2||u-g||_2^2 + mu*TV(u)

where g is the noisy image, mu is the regularisation parameter and u is the denoised image. TV(u) is anisotropic or isotropic total variation.

Refs:
*Goldstein and Osher, The split Bregman method for L1 regularized problems
SIAM Journal on Imaging Sciences 2(2) 2009
*Micchelli et al, Proximity algorithms for image models: denoising
Inverse Problems 27(4) 2011