The corresponding nonlinear threshold functions (bivariate shrinkage function) are derived from the model using the Bayesian estimation theory.

基于贝叶斯估计理论，得到了相应的非线性阈值函数（双变量收缩函数）。

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Compared with the image denoising method using bivariate shrinkage function, the experiment result shows the PSNR is enhanced using this method.

实验结果表明，该方法较双变量收缩函数去噪方法在PSNR值上又有了提高。

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And then addressing SAR image speckle denoising, this dissertation proposed a new method based on bivariate shrinkage function combined with enhancement of wavelet significant coefficients.

其次针对SAR图像相干斑抑制问题，提出一种双变量收缩函数与小波系数显著性增强相结合的SAR图像的斑点抑制算法。

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And then addressing SAR image speckle denoising, this dissertation proposed a new method based on bivariate shrinkage function combined with enhancement of wavelet significant coefficients.

其次针对SAR图像相干斑抑制问题，提出一种双变量收缩函数与小波系数显著性增强相结合的SAR图像的斑点抑制算法。

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