Abstract:

In this paper we study the image denoising algorithm based on total variation.The corresponding optimization model is solved by the steepest descend method,the difference iterative method and the split Bregman method,respectively.Experiment results show that the difference iterative method convergences rapidly,and achieves better denoising performances.

Key words:

Total variation, Steepest descend method, Difference iterative method, Split Bregman method