Wavelet domain Bayesian shrinkage despeckling algorithm for SAR image
Nan Wu · Systems engineering and electronics · 2006
A novel SAR despeckling method using Bayesian shrinkage in local wavelet coefficient domain is presented.Instead of using the homomorphic filter which is used to get rid of multiple noise and is a biased estimator,this algorithm translates speckle into locally stationary additive white noise.In undecimated wavelet subbands,for a given look number this algorithm can concisely and efficiently estimate local additive noise variance.The proposed algorithm is compared with Kuan,Lee and Argenti algorithms in an experiment which results show this algorithm is better in common quality index.