Multiplicative Noise Removal by a Fast Hybrid Total Variation Minimization Method
Le Jiang · Journal of Information and Computational Science · 2013
The multiplicative noise removal problem from laser imaging, synthetic aperture radar and ultrasound imaging has received considerable attention in recent years. In this paper, we propose a fast hybrid total variation minimization method to restore multiplicative noisy images. The proposed method can reduce the staircase effect and preserve edges in the restored images. An alternating minimization algorithm is employed to solve the proposed total variation minimization problem. We discuss the convergence of the alternating minimization algorithm. Numerical experiments are given to illustrate the performance of the proposed method.