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Seismic section image detail enhancement method based on bilateral texture filtering and adaptive enhancement of texture details

机译:基于双边纹理滤波的地震截面图像细节增强方法和纹理细节的自适应增强

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The seismic section image contains a wealth of texture detail information, which is important for the interpretation of the formation profile information. In order to enhance the texture detail of the image while keeping the structural information of the image intact, a multi-scale enhancement method based on wavelet transform is proposed. Firstly, the image is wavelet decomposed to obtain a low-frequency structural component and a series of high-frequency texture detail components. Secondly, bilateral texture filtering is performed on the low-frequency structural components to filter out high-frequency noise while maintaining the edges of the image; adaptive enhancement is performed on the high-frequency detail components to filter out low-frequency noise while enhancing detail. Finally, the processed high- and low-frequency components reconstructed by wavelets can obtain a seismic section image with enhanced detail. The?method of this paper enhances the texture detail information in the image while preserving the edge of the image.
机译:地震截面图像包含丰富的纹理细节信息,这对于解释形成简介信息非常重要。为了在保持图像的结构信息的同时增强图像的纹理细节,提出了一种基于小波变换的多尺度增强方法。首先,图像是分解的小波以获得低频结构部件和一系列高频纹理细节组件。其次,在低频结构部件上执行双边纹理滤波,以在保持图像边缘的同时过滤出高频噪声;在高频细节组件上执行自适应增强,以在增强细节的同时过滤低频噪声。最后,由小波重建的处理的高频和低频分量可以获得具有增强细节的地震截面图像。该纸张的方法增强了图像中的纹理细节信息,同时保留图像的边缘。

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