| 基于EMD的图像信号去噪的改进算法 |
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| 引用本文： | 胡小丽,金明.基于EMD的图像信号去噪的改进算法[J].电子测量技术,2009,32(11):58-61. |
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| 作者姓名： | 胡小丽 金明 |
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| 作者单位： | 南京信息职业技术学院,南京,210046 |
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| 摘 要： | 根据EMD对图像信号进行分解，本文讨论了采用硬阀值去噪声和软阀值去噪的方法的优劣性，并提出了EMD＋SG滤波器组合去噪的方法，对前N／2个IMF采用SG滤波器对每一数据点的一个邻域（长度为n的滑动窗口）进行滤波，用一元P阶多项式根据最小二乘法准则，拟合出邻域内的最佳值作为去噪后的数值，再与后N／2个IMF进行图像重构。实验表明，该算法比其它算法具有较好的去噪效果。
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| 关 键 词： | 经验模态分解 SG滤波器 去噪 |
Improved algorithm of image signal denoising based on EMD |
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| Hu Xiaoli,Jin Ming.Improved algorithm of image signal denoising based on EMD[J].Electronic Measurement Technology,2009,32(11):58-61. |
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| Authors: | Hu Xiaoli Jin Ming |
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| Affiliation: | Hu Xiaoli Jin Ming(Nanjing College of Information Technology,Nanjing 210046) |
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| Abstract: | According to EMD decomposition for an image signal,the advantages and disadvantages between hard-threshold denoising and soft-threshold denoising are discussed in this paper and the EMD+SG filter combination denoising method is put forward. Firstly,the neighborhood of each data points (the sliding window with length n) is filtered by the SG filter for the former N/2 IMF. Then fit out the best value within neighborhood as the denoised data using a first order polynomial with one variable according to least s... |
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| Keywords: | empirical mode decomposition(EMD) SG filter Denoising |
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