Fast algorithm for total variation minimization
Masaru Sakurai, Satoshi Kiriyama, Tomio Goto, Satoshi Hirano · 2011
The total variation (TV) regularization method is very attractive for various image processing applications. In order to apply the TV approach to the motion pictures, it is required to reduce the computational time of the iterative TV regularization processing. In this paper, we propose a method that accelerates the convergence speed of the Chambolle's algorithm. Our proposal is based on introduction of 4-directional TV criterion and 4-dimesional dual vector. The experimental results show that we obtain less than half iteration number and 56 % computational time compared with the original Chambolle's algorithm.