Abstract. 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.

中文翻译：

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基于双边纹理滤波和纹理细节自适应增强的地震剖面图像细节增强方法

摘要。地震剖面图像包含丰富的纹理细节信息，对地层剖面信息的解释具有重要意义。为了在保持图像结构信息完整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。首先对图像进行小波分解，得到低频结构分量和一系列高频纹理细节分量。其次，对低频结构分量进行双边纹理滤波，在保留图像边缘的同时滤除高频噪声；对高频细节分量进行自适应增强，在增强细节的同时滤除低频噪声。最后，小波重构处理后的高频和低频分量可以获得细节增强的地震剖面图像。本文的方法在保留图像边缘的同时增强了图像中的纹理细节信息。