One of image wavelet thresholding denoising method can be said that many image denoising methods are the best.
其中图像的小波阈值去噪方法可以说是众多图像去噪方法的佼佼者。
参考来源 - 基于小波分析的图像去噪处理·2,447,543篇论文数据，部分数据来源于NoteExpress
The improved method proposed in this paper is soft-hard thresholding denoising according to mean approximation.
提出的改进方法是利用均值逼近的软硬阈值折中法。
Wavelet thresholding technology is using the sparse property of wavelet representation and diagonal filter for signal denoising . This method is nearly optimal in many signal spaces.
小波阈值降噪技术利用小波变换表示信号的稀疏性质，使用对角形式的阈值滤波器达到信号降噪的目的，这个方法在很多信号空间上是近似最优的。
And then, establish the adaptive thresholding algorithm. Thus, we get a new adaptive threshold denoising method fit for coherent noise.
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。
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