| 基于多小波自适应阈值的地震图像去噪方法 |
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| 引用本文： | 戴庆,卢杨,栗磊.基于多小波自适应阈值的地震图像去噪方法[J].科学技术与工程,2009,9(24). |
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| 作者姓名： | 戴庆 卢杨 栗磊 |
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| 作者单位： | 大庆石油学院计算机与信息技术学院,大庆,163318 |
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| 摘 要： | 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.该算法根据小波变换各子层系数矩阵,确定各子层的自适应最优阈值,对于高频子带采用硬阈值化去噪,低频子带采用中值阈值化去噪,并去噪后重构小波系数.实验结果表明,该方法能够去除大部分高频随机噪声,并还原相干切片图像真实效果,提高了地震资料的信噪比.
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| 关 键 词： | 多小波变换 阈值 中值滤波 随机噪声 |
| 收稿时间： | 8/28/2009 8:32:37 AM |
| 修稿时间： | 9/15/2009 9:41:51 AM |
Based on many wavelet adaptive threshold image denoising method of earthquake |
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| Dai Qing,Lu Yang and Li Lei.Based on many wavelet adaptive threshold image denoising method of earthquake[J].Science Technology and Engineering,2009,9(24). |
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| Authors: | Dai Qing Lu Yang and Li Lei |
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| Institution: | Daqing petroleum institute of computer and information,Daqing petroleum institute of computer and information |
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| Abstract: | Combined with the characteristics of seismic image noise, using multi-scale wavelet transform, presents a new adaptive wavelet threshold denoising algorithm. This algorithm based on wavelet transform each layer, the coefficient matrix of the layer of adaptive optimal threshold, for high frequency sub-band adopts hard threshold denoising, low-frequency subband using threshold value denoising, after denoising and reconstruct wavelet coefficients. Experimental results show that this method can remove most random noise,and reductive real effect for coherent slices image, improve the signal-to-noise ratio.
Key words: many wavelet transform; threshold; median filtering; Random noise |
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| Keywords: | many wavelet transform threshold median filtering Random noise |
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