石油物探2012，Vol.51Issue(4)：350-355,6.DOI:10.3969/j.issn.1000-1441.2012.04.005
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
俞华 1薛永安 1王勇 1李红彩 1杨彦敏1
作者信息
- 1. 中国石油化工股份有限公司江苏油田分公司物探技术研究院,江苏南京210046
- 折叠
摘要
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 curve-let 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.
关键词
曲波变换/全变差/随机噪声/非线性阈值法Key words
curvelet transform/ total variation/ random noise/ nonlinear-thresholding approach分类
天文与地球科学引用本文复制引用
俞华,薛永安,王勇,李红彩,杨彦敏..曲波变换及全变差最小化技术联合去噪[J].石油物探,2012,51(4):350-355,6.
