Synthetic aperture radar (SAR) images are corrupted by speckle noise due to random interference of electromagnetic
waves. The speckle degrades the quality of the images and makes interpretations, analysis and classifications of SAR
images harder. Therefore, some speckle reduction is necessary prior to the processing of SAR images. In this paper, we
propose a method of speckle reduction in SAR images based on Wedgelet Furthermore, an edge-enhanced local mean
and median filter is added to smooth SAR speckle noise while preserving edges. Experiments show that this method can
significantly reduce the speckle while preserving more edge structures of the original SAR images than classical ones.