提高地震图像分辨率的小波域扩散滤波法
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摘要
地震图像属于线形纹理图像的一种,因此地震同相轴表现为线条结构。采用一致增强性扩散算法可以有效地增强同相轴的连续性并去除地震图像中的随机噪声,在对一致增强性扩散算法仔细研究的基础上,将该算法与小波图像分解算法结合起来。对地震图像小波分解后的低频分量和水平高频分量进行采用一致增强处理,对垂直高频分量和对角高频分量采用阈值收缩计算。这样不但节省了计算时间,而且不会在一致增强同相轴的同时,增强垂直高频分量和对角高频分量的噪声。通过对川西地区某块地震资料的实际处理表明,该方法可以有效去除地震资料中的随机噪声,增强反射同相轴的一致连续性,提高地震图像的分辨率。
Seismic events reflected liner structure due to the seismic image belonging to linear-texture image.So coherence enhancement diffusion method could enhance the continuity of seismic events effectively and remove the random noise in the seismic image.Based of detailed research of coherence enhancement diffusion method,it was combined with wavelet decomposition algorithm.For the low frequency component and horizontal high frequency component of seismic image,coherence enhancement diffusion method was adopted to process it,for the vertical and diagonal high frequency component,it was calculated by using threshold shrinkage.This way not only saved calculation time but also enhanced the seismic events consistently as well as not enhanced the random noise of vertical and diagonal high frequency components.It is used in the west of Sichuan,the result shows that this method can remove random noise of seismic data as well as enhance the continuity of seismic events and increase the resolution of seismic image.
Seismic events reflected liner structure due to the seismic image belonging to linear-texture image.So coherence enhancement diffusion method could enhance the continuity of seismic events effectively and remove the random noise in the seismic image.Based of detailed research of coherence enhancement diffusion method,it was combined with wavelet decomposition algorithm.For the low frequency component and horizontal high frequency component of seismic image,coherence enhancement diffusion method was adopted to process it,for the vertical and diagonal high frequency component,it was calculated by using threshold shrinkage.This way not only saved calculation time but also enhanced the seismic events consistently as well as not enhanced the random noise of vertical and diagonal high frequency components.It is used in the west of Sichuan,the result shows that this method can remove random noise of seismic data as well as enhance the continuity of seismic events and increase the resolution of seismic image.
引文
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[2]Perona P,Malik J.Scale-space and edge detection using anisotropic diffusion[J].IEEE Transaction on Pattern Analysis and MachineIntelligence,1990,12(7):629~639.
[3]Mrazek P,Weickert J.Rotationally invariant wavelet shrinkage[C].Berlin:Proc of Pattern Recognition Symposium,2003.101~116.
[4]Jiying Wu,Qiuqi Ruan.Combining adaptive PDE and wavelet shrinkage in image denoising with edge enhancing property[C].Wash-ington:International Conference on Computer Science and Software Engineering,2006.718~721.
[5]Xiaopeng Yan,Ping Li,Yueqin Li,et al.Image speckle reduction and coherence enhancement in underwater ultrasonic imaging basedon wavelet transform[C].Wuhan:International Conference on Computer Science and Software Engineering,2008.145~148.
[6]Zhang XiangFen,Ye Hong,Zhang HongMei.Multi-channel wavelet-based diffusion method for denoising DTI images[C].Sanya-Hainan:International Conference on Biomedical Engineering and Informatics,2008.178~182.
[7]吴亚东,孙世新.基于二维小波收缩与非线性扩散的混合图像去噪算法[J].电子学报,2006,34(1):163~166.
[8]项明,吴小培,汤婷,等.小波域中的PDE指纹图像增强[J].计算机工程与应用,2010,46(27):188~190.
[9]Weickert J.Coherence-enhancing diffusion filtering[J].International Journal of Computer Vision,1999,31(2/3):111~127.
[10]Weickert J.Anisotropic diffusion in image processing[M].Stuttgart:Teubner-Verlag,1998.
[11]孙夕平,杜世通,汤磊.相干增强各向异性扩散滤波技术[J].石油地球物理勘探,2004,39(6):651~655.
[12]陈凤,李金宗,李冬冬.提高地震图像信噪比的一致增强性扩散方法应用研究[J].电子学报,2004,32(11):1885~1890.
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