基于结构张量的三维地震图像增强方法
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摘要
为降低三维地震图像噪声和增强图像横向分辨率,提出了基于结构张量的地震图像纹理增强方法。针对具有复杂纹理的三维地震图像结构张量,将非线性各向异性扩散图像边缘增强滤波与最优旋转不变性的微分滤波器相结合,用于检测纹理边缘和判断连续区域。通过检测三维地震图像结构张量的方差变化程度,实现增强图像纹理边缘的同时避免因算法误差导致的图像模糊。分析结果表明,该方法适用于地震图像增强,可以有效地提高三维地震图像质量,并且清晰地刻画图像中构造特征。
To reduce the noise of 3D seismic image and enhance the resolution of the image,a method of 3D seismic image enhancement is put forward.Aiming at resolving the promble of the structure tensor of 3D seismic image with complex textures,the anisotropic diffusion filter with optimal rotation invariance as a method is introduced to detect the edges of the textures and locate the continuous area.Based on detecting faults with the variance variation value of the structure tensor,3D seismic image quality is improved by filtering to remove noise and enhance the edges,and avoiding blurring artifacts.According to the result of analysis,this method is suitable for im-proving the quality of 3D seismic.
引文
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