Bayesian despeckling to SAR images based on the membrane MRF model

SAR imagery can be modeled as the multiplication of the noise-free image and speckle noises. So the noise-free image can be estimated from the observed image with the Bayesian estimation. It's crucial to choose a proper prior model for well matching the SAR images' characteristics. In this article the Membrane MRF model is employed to model the prior information, which overcomes the GMRF's sensitivity to parameters. Simultaneously, the pixels in the homogeneous or in regions with structures are processed by adjusting the model's neighborhood adoptively. Experiments show that not only the image is despeckled effectively but also the structures are preserved well.