An Improved Non-Convex Model for Multiplicative Noise Removal

Multiplicative noise removal problems have attached much attention in recent years. This paper proposes an improved non-convex variational model for multiplicative noise removal under the Weberized total variation (TV) regularization framework. An iterative algorithm based on the linearization technique for the associated nonlinear Euler-Lagrange equation is developed. Our experimental results show the good performance of the model.