特别是对阈值去噪方法，提出了一种基于正交小波变换和自适应学习算法的噪声抑制方法。

Especially to threshold de-noising, a method based on orthogonal wavelet analysis and self-adaptive learning algorithm was proposed here.

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实验证明了相干比阈值的选择与图像的类型和噪声水平没有关系，因而本文所提出的图像去噪方法是自适应的。

Experimental results prove that the select of coherent ratio threshold is independent of image types or noise level. So the way of denoising presented here is adaptive.

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并在此基础上确定了自适应阈值计算方法，建立了新的阈值去噪法，可用于去除相干噪声。

And then, establish the adaptive thresholding algorithm. Thus, we get a new adaptive threshold denoising method fit for coherent noise.

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