This paper introduces a new denoising method of information preserving and denoising.
本文考虑了一种新的去噪处理的方法——保信去噪。
The experimental results show that the proposed denoising method can achieve high Peak Signal-to-Noise Ratio (PSNR).
实验表明该方法能取得较高的信噪比，并能保存图像的一些细节信息。
It theoretically ensures that denoising method for Gaussian noise can also be used for Pulse noise and Possion noise.
这样就从理论上保证了对应于高斯白噪声的阈值去噪方法同样适用于脉冲噪声和泊松噪声。
Due to low quality of ultrasound image by speckle noise, efficient denoising method is needed for processing and analyzing.
由于超声图像受散粒噪声影响往往像质较差，如何有效实现超声图像的去噪是后续处理和分析的关键。
An effective denoising method on the frequency space is presented according to the characteristics of remote sensing images.
针对遥感图像的特点，给出了一种有效的基于频域的去噪方法。
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。
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。
The following content of this thesis is about an analog receiver for MR spectrometer based on PCI bus and wavelet based MR image denoising method.
本文后面的内容将讨论核磁共振成像仪中的接收机的设计，以及数据后处理过程中的图像降噪方法。
Concerning the point clouds with noises and outliers acquired by a 3d scanner, a denoising method based on the concept of local outlier was proposed.
针对三维扫描仪获取的带噪声和离群点的点云数据，提出了基于局部离群点概念的去噪算法。
Experimental results showed that, compared with the usual denoising method, the proposed method could keep images edges from damaging and increase PSNR.
实验结果表明，与普通的小波去噪方法相比，该方法不但可以保留图像的边缘信息，而且能提高去噪后图像的峰值信噪比。
The image denoising method is proposed based on dual tree complex wavelet transform, which can do better both in features preserving and noise removing.
将对偶树复小波变换应用于图像去噪，可以更好地表示图像的边缘和纹理特征，从而得到较小波更好的去噪效果。
But in the very low SNR circumstance, because of the covariance matrix of the observed signals being singularity, the ICA denoising method can not be used.
但研究发现在极低信噪比，由于观测信号的样本协方差矩阵具有奇异性，这使得ICA去噪算法中的白化处理步骤无法进行。
A new locally adaptive image denoising method, which exploits the intra-scale and inter-scale dependency in the dual-tree complex wavelet domain, is presented.
充分利用二元树复数小波域内系数尺度间和尺度内的统计依赖关系，提出了一种新的局部自适应图像去噪方法。
Base on wavelet denoising theory as well as the characteristic of the signal, a wavelet denoising method applied to Strapdown north seeking system was proposed.
文章基于小波变换的消噪原理，结合待测信号的特点，创造性地提出一种适用于捷联寻北仪的小波消噪法。
In traditional denoising methods for signals, we usually use the method of threshold to achieve denoising by the threshold disposing of wavelet packet transform.
传统信号去噪方法常采用门限法对噪声信号的小波或小波包变换做阈值处理以达到去噪的目的。
The numerical results show that the direct difference method can effectively realize the denoising method model based on the TV model, and its effect is excellent.
结果表明，差分法能有效地快速实现基于TV模型的去噪方法，其去噪效果良好。
Filtering signal in the wavelet domain, by the frequency components acceptable for ear from the original speech, is a simple and effective speech denoising method.
利用此特性对信号进行小波域滤波，可从加噪的语音中提取人耳所能接受的频率成份，是一种简单有效的语音去噪算法。
To overcome drawback of bilateral filter that blurs the image feature to some extent, a bilateral image denoising method based on similar pixel selecting is proposed.
针对双边滤波在一定程度上模糊了图像特征的缺陷，提出一种基于相似像素选择的图像双边滤波算法。
By Analysing speech signal and conventional denoising method of threshold, a new mult-threshold based on wavelet transform method of speech signal denoising is proposed.
研究了基于小波变换的语音去噪问题，在对传统阈值法去噪和语音特性分析基础上，提出一种改进的多阈值法语音信号去噪方法。
Theoretical analysis shows that the proposed method can effectively reduce the lower bound of denoising error of the wavelet denoising method based on soft thresholding.
理论分析表明，该方法能有效地降低软阈值小波降噪法的误差下界。
The article will put forward a kind of new denoising method of digital image in frequency domain:start with a series of Fourier Transforms on hand and wrist X-ray image;
首先对采集到的手腕部骨图像进行傅立叶变换；
A fast and efficient image denoising method is proposed based on Orthogonal matching pursuit which exploits the tree structure to reduce the complexity of the decomposition.
提出了一种基于分层树型结构正交匹配追踪算法的快速图像去噪方法。
Aiming at the disadvantages of traditional soft and hard threshold methods for wavelet threshold denoising, the new developed extracting threshold denoising method is proposed.
针对小波阈值去噪方法中传统软硬阈值法各自存在的缺点，提出了开方法阈值去噪法。
This dissertation makes a theoretical study of filter feature, then applies it into small image denoising, and present a fast denoising method suitable for small target images.
本文从理论上分析了小波滤波器特性，提出了一种适合弱小目标图像的快速滤波方法。
To compare with traditional medial filter and Gaussian filter, the image denoising method based on set operator has the characteristics of shape preserving and contrast invariant.
该图象去噪方法同传统的中值滤波、高斯滤波相比，具有保形、保对比度的特点。
Due to the good localization feature of the wavelet transform both in time plane and in frequency plane, we present a wavelet-based denoising method for extracting EPs in single trails.
由于小波变换在时域和频域上都具有良好的局部化特性，本文提出了一种基于小波变换的去噪方法，以期达到从单次样本中提取视觉诱发电位的目的。
The results show that the wavelet denoising method can effectively restrain the noise in friction and sudden unbalance signal, and reserve the fault character information in the signals.
结果表明：小波分析降噪方法能够有效抑制碰磨和突加不平衡信号中的噪声并保留故障特征信息。
Using the features of wavelet transform that can save detail image information, an image denoising method with the combination of nonlinear diffusion and wavelet transform was presented.
利用小波变换能够很好地保留图像细节信息的特点，提出了一种将非线性扩散方程和小波变换相结合的图像去噪方法。
Using the features of wavelet transform that can save detail image information, an image denoising method with the combination of nonlinear diffusion and wavelet transform was presented.
利用小波变换能够很好地保留图像细节信息的特点，提出了一种将非线性扩散方程和小波变换相结合的图像去噪方法。
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