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Speckle denoising using wavelet transforms and higher-order statistics

机译:使用小波变换和高阶统计的散斑去噪

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We reduced speckle noise in SAR imagery by retaining only those wavelet coefficients with significant third-order correlation coefficients. These coefficients were generated from the cross-correlation functions of the image and wavelet basis functions. Using this approach, we compared the results between directly applying our denoising method, and first preprocessing by taking the logarithm of an image. In our approach, we examined wavelet coefficients in an environment where the contribution from the second-order moment of the noise had been reduced.
机译:我们通过仅保留具有重要三阶相关系数的小波系数来降低SAR图像中的散斑噪声。这些系数是从图像和小波基函数的互相关函数产生的。使用这种方法,我们将直接应用我们的去噪方法的结果进行了比较,以及通过采用图像的对数来进行首先预处理。在我们的方法中,我们在噪声二阶瞬间的贡献已经减少了贡献的环境中检查了小波系数。

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