Comparing with the adaptive denoising algorithm based on compression ratio and SVD, it avoids calculating the function of image compression ratio and its knee point.
该算法的特点是将能量最小法则和奇异值分解结合起来，在代数空间中建立了一种自适应的图像降噪算法。
Median filter is a common denoising algorithm. This paper proposes a new adaptive weighted algorithm based on the slope of the curved liner.
中值滤波是常用的降噪算法，本文提出了一种基于窗口拟合曲线的斜率信息的自适应加权算法。
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.
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。
An improved method based on orthogonal wavelet transform for adaptive speech denoising is proposed, which can increase the convergence rate of the adaptive speech denoising process.
提出一种基于正交小波变换的自适应语音消噪改进方法，这种方法可以提高自适应语音消噪过程的收敛速率。
In this paper, based on the analysis of the usual smoothing filter and adaptive median filter (AMF), a novel adaptive, weighting filter (AWF)scheme for RS image denoising is presented.
文中在分析传统的去噪处理算法和自适应中值滤波算法的（AMF）基础上，提出了一种自适应加权的遥感图像去噪滤波方法。
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。
Combined with the characteristics of seismic image noise, using multi-scale wavelet transform, presents a new adaptive wavelet threshold denoising algorithm.
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。
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。
A method of adaptive speech denoising based on orthogonal wavelet transform is proposed in this paper. This method can increase the convergence rate of the adaptive processing.
本文提出了一种基于正交小波变换的自适应语音消噪改进方法，这种方法可以提高自适应语音消噪过程的收敛速率。
The adaptive strategies of the new algorithm strengthen the denoising performance of the filtering algorithm, which is good at dealing with any density noise.
该算法中的自适应策略加强了滤波算法的去噪性能，使其对于含有任意噪声密度的图像也能很好地进行噪声滤除。
Aim The data adaptive scalar decomposition transform (SDT) and its application in data compression and denoising are studied.
目的研究常数分解变换法(SDT)及其在数据压缩和消噪上的应用。
In view of denoising salt-pepper noise, a adaptive weighted mean filter based on decomposition of histograms is proposed in this thesis.
本文针对图像椒盐噪声的去除，提出一种基于直方图分解的自适应加权均值滤波器。
In order to reduce the influence of noise on the correlation dimension which is used in the hydraulic pump fractal fault diagnosis, a denoising method using adaptive wavelets was presented.
针对液压泵故障分形诊断方法中噪声对关联维数的影响，提出了自适应小波降噪的思路。
According to neighborhood information an adaptive double-reciprocal filter was proposed to improve the edges which were degraded by denoising.
针对带钢表面缺陷图像去噪后边缘模糊的问题，提出了一种基于邻域信息的自适应双倒数滤波方法。
Secondly, using locally variance estimation, a locally adaptive image-denoising algorithm was presented. Also this algorithm could be applied to the complex wavelet domain.
在实验中，将该算法分别应用到实值离散小波变换域和双树复数小波变换域，并和隐马尔科夫模型的去噪方法做了比较分析。
Secondly, using locally variance estimation, a locally adaptive image-denoising algorithm was presented. Also this algorithm could be applied to the complex wavelet domain.
在实验中，将该算法分别应用到实值离散小波变换域和双树复数小波变换域，并和隐马尔科夫模型的去噪方法做了比较分析。
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