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Bayesian wavelet shrinkage with edge detection for SAR image despeckling

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4 Author(s)
Min Dai ; Electr. Eng. Dept., Texas A&M Univ., College Station, TX, USA ; Cheng Peng ; A. K. Chan ; D. Loguinov

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.

Published in:

IEEE Transactions on Geoscience and Remote Sensing  (Volume:42 ,  Issue: 8 )