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曲波变换及全变差最小化技术联合去噪
Joint noise attenuation technique based on curvelet transform and total variation minimization
【摘要】 为了更好地发挥曲波变换在地震资料去噪处理方面的优势,同时克服其固有缺陷,在地震资料去噪处理中应用了基于曲波变换和全变差最小化技术的联合衰减随机噪声技术。该技术在应用曲波变换时,对选取的阈值使用非线性阈值法,同时对小系数采用全变差最小化技术。理论模型与实际地震资料的测试结果表明,该技术不仅可以很好地衰减随机噪声,有效地克服单独使用曲波变换带来的伪曲线现象,同时较好地保护了有效信号。
【Abstract】 In order to take advantage of curvelet transform in seismic data denosing and overcome its inherent shortcomings,we applied the joint random noise attenuation technique based on curvelet transform and total variation minimization on seismic data.This technique uses the nonlinear-thresholding approach to realize the curvelet transform and adopts total variation minimization for small coefficients.Theoretical model and real data processing results show that this technique can greatly attenuate random noise,effectively overcome aliased curves when merely using curvelet transform,and preserve the significant signal in seismic data as well.
【Key words】 curvelet transform; total variation; random noise; nonlinear-thresholding approach;
- 【文献出处】 石油物探 ,Geophysical Prospecting for Petroleum , 编辑部邮箱 ,2012年04期
- 【分类号】P631.44
- 【被引频次】5
- 【下载频次】202