SAR image despeckling based on statistical model in NSCT domain
Min Yin · Cehui kexue · 2013
In the paper,additive model was introduced to SAR image,and Non-Subsampled Contourlet Transformation was used.According to the correlation among its coefficient,neighborhood coefficients and the father coefficients,it proposed a classification standard where the coefficients were divided into the important and unimportance coefficients. Moreover,the improved Donoho's threshold was used to process the important coefficients,and estimated the original NSCT coefficients from noisy coefficients. Thus the speckle was removed of SAR image. Lastly,experimental results for speckle reduction of real SAR images showed that the algorithm would outperform the other current despeckling algorithms both in the despeckle effect and the detail reserve of image.