...读器 在Daubechies小波分解变换的基础上,研究一种自适应阈值白光干涉数据去噪方法--自适应阈值去噪方法(adapt threshold shrink,ATS)的白光干涉数据去噪方法.这种方法是基于Bayes框架,在不同子带上选择不同的最佳阈值.
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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.
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.
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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