用小波变换抑制SAR图像中的斑点噪声

抑制合成孔径雷达图像中的斑点噪声一直是处理图像并得到准确图像信息的难点，提出了一种基于小波变换抑制合成孔径雷达（SAR）图像中的斑点噪声的方法，对原有的小波变换方法作了改进，能更好地保留图像的边缘信息，并能简化计算量。在仿真实验中使用了合成的模拟图像和真实的合成孔径雷图像，并与以往的小波去噪滤波方法以及一些经典的斑点噪声滤波方法（包括中值滤波，Lee滤波，Frost滤波）进行比较，在综合考虑了滤波算法在均匀区域对斑点噪声的抑制能力以及保留边缘信息能力的情况下，提出的算法有更好的效果。

Application of wavelet transform in SAR image denoising

In this paper, a method that uses the wavelet transform to suppress the speckle noise in synthetic aperture radar (SAR) images is described. Based on the previous wavelet approach, the properties of the wavelet coefficients have been taken into more account so that the edges information in images can be preserved well and the computational burden has been reduced at the same time. And this method is also compared with other classical denoising methods, such as median filter, Lee filter, Frost filter and so on. The results of the simulations and application to synthetic image and real SAR images prove the good performance of proposed new wavelet method.