A conditional gradient method for primal-dual total variation-based image denoising
Résumé
In this paper, we consider the problem of image denoising by total variation regularization. We combine the conditional gradient method with the total variation regularization in the dual formulation to derive a new
method for denoising images. The convergence of this method is proved. Some numerical examples are given to
illustrate the effectiveness of the proposed method.