Nonlocal Total Variation Based Speckle Denoising Model

摘要: A large range of methods covering various fields mathematics are available for denoising an image. The initial models derived from energy minimization using nonlinear partial differential equations (PDEs). filtering based on smoothing operators have also been used denoising. Among them the recently developed nonlocal means method proposed by Buades, Coll and Morel in 2005 is quite successful. Though very accurate, it slow hence impractical. In 2008, Gilboa Osher extended some known PDE variational techniques image processing to framework total variation Gaussian noise. We this idea develop a model speckle Here we introduced Krissian et al. framework. Split Bregman scheme solve new model.