Supervised evolutionary optimization of Bayesian nonlocal means filter with sigma preselection for despeckling sar images

Abstract

Speckle reduction is an important problem in SAR image analysis. We present an interactive easy-To-use software package based on an evolutionary algorithm, to optimize a despeckling Bayesian nonlocal means filter with sigma preselection for reducing the image variance while preserving the image mean. As a difference from other methodologies, there is an implication of the user, which provides a subjective validation to complete the Bayesian filter design. We apply the methodology on both synthetic and real intensity SAR images and the results show the effectiveness of the proposal.