Bayesian wavelet shrinkage with edge detection for SAR image despeckling
Min Dai, Peng Cheng, Andrew K. Chan, Dmitri Loguinov · IEEE Transactions on Geoscience and Remote Sensing · 2004
In this paper, we present a wavelet-based despeckling method for synthetic aperture radar images and derive a Bayesian wavelet shrinkage factor to estimate noise-free wavelet coefficients. To preserve edges during despeckling, we apply a modified ratio edge detector to the original image and use the obtained edge information in our despeckling framework. Experimental results demonstrate that our method compares favorably to several other despeckling methods on test images.