A Fast and Accurate Despeckling Method with Optimized Nonlinear Diffusion

SAR (Synthetic Aperture Radar) despeckling is one of the key technologies in SAR image processing. This paper proposes an efficient despeckling algorithm based on optimized nonlinear diffusion model, which exploits the trainable nonlinear reaction diffusion framework. For the despeckling task, we train the parameters of linear filters and the influence functions, taking into account the speckle noise statistics of the intensity SAR image. Experimental results show that the proposed method provides comparable or even better results in comparison with PPBit and SAR-BM3D. Meanwhile, our proposed model is of high computation efficiency, and is well-suited for parallel computation.