This paper proposes using wavelet modulus maxima de-noising method. Image containing noise is took discrete stationary wavelet transform,the noise standard deviation is estimated,changes in the form of Bayes-shrink threshold,and gets de-noising threshold formula.
提出利用小波模极大值进行图像消噪方法,对含噪声图像进行离散平稳小波变换和噪声标准差的估计,在Bayes-shrink阈值计算的基础上,得到消噪的阈值计算公式。
参考来源 - 小波模极大值在图像消噪中的应用·2,447,543篇论文数据，部分数据来源于NoteExpress
The singularities of signals and noises are investigated. A conclusion is drawn that the wavelet modulus maxima of signals have contrary behaviors from that of noises.
通过对信号与噪声奇异性的分析，得出信号与噪声的小波变换模极大值在各个尺度上的表现截然相反的结论。
Based on the theory of signal strangeness detect, the maxima modulus in high frequency of wavelet resolving can be used as a criterion to classify steady and non-steady state phenomena.
基于信号的奇异性检测理论，利用小波分解的高频系数是否具有模极大值作为区分稳态和非稳态现象的判据。
The new algorithm based on wavelet transform modulus maxima was presented to resolve the problem of weak infrared point targets detection under the complicated background of sea and sky.
为解决海空复杂背景下红外弱点目标的检测，提出了基于小波变换模极大的检测算法。
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