SAR image despeckling method using bivariate shrinkage based on dual-tree complex wavelet

In this paper, we propose a speckle suppression method for SAR image based on dual-tree complex wavelet. Non-Gaussian bivariate distribution model is proposed by considering the correlation of the real and imaginary parts of complex wavelet coefficients. Based on this model, the shrinkage function of real and imaginary parts of complex coefficients is obtained with the help of maximum a posteriori estimate. Compared with the state-of-the-art techniques through the visual effect and the equivalent number of looks (ENL), experimental results demonstrate that the proposed algorithm obtains good performance in smoothing speckles of homogeneous regions and preserving edges and details effectively.