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EDGE-PRESERVING ENHANCEMENT OF SEISMIC IMAGES BY NONLINEAR ANISOTROPIC DIFFUSION

机译:非线性各向异性扩散对地震图像的保留边缘的增强

摘要

rocessing a seismic image comprising the steps of(a) obtaining a two or three dimensional initial image data set, wherein each element u(m=0) of the data set is the initial image intensity of a point of the image;(b) calculating for each point the partial derivatives of u(m) in n directions to obtain n derivative data sets of the partial derivatives uxi; (c) calculating for each point a symmetric nxn structural matrix S, wherein the elements spq equal uxp.uxq, and an nxn diffusion matrix D, wherein the elements dij are a function of the elements spq; (d) calculating for each point u(m+1) from u(m) using the following equation u(m+1)=u(m)+c.div(ε.Dgrad(u(m))), wherein c is a predetermined constant, 0≤c≤1, and wherein ε is a scalar, 0≤ε≤, wherein ε is close to zero when near an edge and close to 1 when far away from an edge (10, 11, 12, 14, 15); and(e) repeating steps (b) through (e) M times to obtain the processed image.
机译:处理地震图像包括以下步骤:(a)获得二维或三维初始图像数据集,其中数据集的每个元素u(m = 0)是图像点的初始图像强度;(b)为每个点在n个方向上计算u(m)的偏导数,以获得n个偏导数uxi的导数数据集; (c)为每个点计算一个对称的n×n结构矩阵S,其中元素spq等于uxp.uxq;和一个nxn扩散矩阵D,其中元素dij是元素spq的函数; (d)使用以下公式u(m + 1)= u(m)+ c.div(ε.Dgrad(u(m)))从u(m)计算每个点u(m + 1),其中c是预定常数0≤c≤1,其中ε是标量,0≤ε≤,其中ε在靠近边缘时接近零,而在远离边缘时接近1(10、11、12 ,14、15); (e)重复步骤(b)至(e)M次,以获得处理后的图像。

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