SAR Image Denoising Based on Significant Estimation of Noise Variance of Complex Wavelet Coefficients
基于复小波噪声方差显著修正的SAR图像去噪

We proposed an algorithm of SAR speckle denoising method based on combination of statistic model of complex wavelet coefficients and significant estimation of noise variance.This method first employs a logarithmic transformation to change the multiplicative speckle into additive noise,then logarithmic image is processed by Dual-Tree Complex Wavelet Transform,and the model,which is based on statistical distribution for the complex wavelet coefficients of SAR image,is set up.Under such prior distribution,Maximum A Posteriori(MAP) estimator is used to restore the wavelet coefficients from the noisy observations to achieve the goal of filtering noise.Experiment results show that the method can remove the noise while preserving significant image details and obtain the good performance.