第三章，是对视频去噪算法的研究。
提出了一种改进型正交有限脊波分析的图像去噪算法。
One kind of Modified Orthonormal Finite Ridgelet Transform was brought forward.
本文提出一种基于图割的全变差（TV）图像去噪算法。
This paper presents a total variation(TV) image denoising algorithm based on graph cut.
根据曲线拟合的概念，提出了一种新的电能质量检测的去噪算法。
By using curve fitting theory, proposed a new method of power quality detection.
为了实现良好的性能在这方面，去噪算法，以适应图像的不连续性。
To achieve a good performance in this respect, a denoising algorithm has to adapt to image discontinuities.
对此，本文研究了一种非平稳环境下基于小波变换的信号去噪算法。
This algorithm can overcome the deficiency of the conventional algorithms of noise reduction, which were only efficient for stationary environments and have large level of signal residual noise.
通过仔细研究工程扫描图象的特征，提出一种基于密度划分的去噪算法。
Through specific study of the characteristic of scanned project graph, a de-noise algorithm based on the pixels density is proposed.
提出一种新的去噪算法并应用于受噪声干扰的示波测定信号的去噪处理。
A new denoising algorithm is introduced and applied to remove noises from oscillographic signals of Glycyrrhizic acid's concentration.
基于红外脉冲噪声的特点，提出了一种新的非常有效的脉冲噪声的去噪算法。
A novel algorithm of infrared image denoising is presented based on the characteristic of impulsive noise.
与传统的阈值去噪法和基于平移不变量的去噪算法相比，该算法提高了信噪比。
Compared with the traditional de-nosing methods by threshold value and translation invariance, the algorithm increases the signal to noise ratio.
在去噪算法上本文重点比较了谱相减法、LOGSTSA-MMSE与子空间方法。
The comparison of threes methods, spectral subtraction, LOGSTSA-MMSE and subspace approach, is the major work in researching the noise reduction algorithm.
本文提出的视频去噪算法是一种鲁棒的基于运动估计的自适应时空域视频去噪算法。
The video deinterlacing algorithm, recommended in this paper, is a robust algorithm based on motion compensation and self-adapting spatiotemporal filter.
实验结果表明本文提出的去噪算法是有效的，并且聚类结果的准确性有了较好的改进。
The experimental results show that the proposed algorithm is effective, and the accuracy of clustering has been improved.
针对cr图像的特点以及应用中的实际要求，提出一种基于小波变换的自适应阈值去噪算法。
Taking account of the features of medical images and practical demands, a de-nosing algorithm of self-adaptive threshold based on wavelet transform is proposed.
因此，研究有效的图像去噪算法，改善去噪性能，对提高整个图像处理系统的性能至关重要。
Thus, the research on effective de-noise algorithms and the improvement of the performance of de-noise are very important for improving the whole performance of the digital image processing system.
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。
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.
在分析噪声检测与噪声滤波原理的基础上，提出了用于恢复被脉冲噪声污染的图像的去噪算法。
Based on the analysis of the principles of noise detection and noise filtering, an effective image denoising algorithm was proposed to restore images corrupted by impulse noise.
这种改进算法通过使用基于自适应稀疏表示的去噪算法有效地减少了噪声对L-R算法的影响。
The modified algorithm reduces the influence of noise on L-R algorithm effectively by using de-noise algorithm based on adaptive sparse representation.
结合地震图像噪声的特点，利用多尺度小波变换的优点，提出一种新的自适应小波阈值去噪算法。
Combined with the characteristics of seismic image noise, using multi-scale wavelet transform, presents a new adaptive wavelet threshold denoising algorithm.
去噪算法的基本思想是平均，关键点在于如何使图像得到平滑的同时，细节或是高频部分予以保留。
The basic idea of denoising is what is called average, so the main point is how to deal with smoothing while preserving details or high frequency parts.
本文给出了该系统的总体架构，传感器侧和上位机侧主要部分的软硬件实现方案以及关键的去噪算法。
This paper designed the system's overall architecture, presented implementations of hardware and software of its backbone, as well as the denoising algorithm.
为了提高脉冲星辐射信号的信噪比，提出了一种基于经验模态分解(EMD)的脉冲星信号去噪算法。
In order to improve the signal-to-noise of the pulsar signal, an algorithm of pulsar signal de-noising based on Empirical Mode Decomposition (EMD) is proposed.
对线性复扩散去噪算法进行改进，提出了非线性复扩散图像去噪算法，构造了新的非线性复扩散系数。
To improve linear complex diffusion algorithm for image denoising, a new linear complex diffusion algorithm is put forward.
而常用的去噪算法在去噪的同时会损失图像的边缘信息，所以本文在去噪前预先保留了图像的边缘信息。
To solve the problem of losing part of edge in the SAR image de-noising, the edge of image can be preserves beforehand.
语音增强算法的前期需要对噪声进行估计，然后将其应用到合适的去噪算法中，去噪算法是整个算法的核心部分。
Speech enhancement algorithm's early work is to estimate the noise, then the noise is applied in suitable denoising algorithm, the denoising algorithm is the key of the whole.
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。
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.
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。
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.
在去噪算法上本文重点研究了谱减法及其改进形式、STSA - MMSE去噪算法，用MATLAB工具仿真了这些算法。
About denoising algorithm this paper researches focused on Spectral Subtraction algorithm and improved form, STSA-MMSE algorithm, using MATLAB tool to simulate these algorithms.
其次，实验中测得了大量的混沌数据，在神经网络模型的启发下提出了一种新的符号序列去噪算法，应用该算法提高了测量精度。
Secondly, we have obtained plenty of chaotic data, and presented a new method derived from Neural Network theory to process the symbolic series, which improves the accuracy of measurement.
与原有算法相比，新算法大大提高了总体最小二乘图像去噪算法的效率，并保证了去噪质量特别是保持图像边缘结构以及点特征。
This new method can shorten the runtime as well as improve efficiency of denoised arithmetic, while ensure the denoising quality, especially in the point, line, and edge regions.
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