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Nonlinear Processes in Geophysics An interactive open-access journal of the European Geosciences Union
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Discussion papers
https://doi.org/10.5194/npg-2019-46
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/npg-2019-46
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Submitted as: research article 11 Oct 2019

Submitted as: research article | 11 Oct 2019

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This discussion paper is a preprint. It is a manuscript under review for the journal Nonlinear Processes in Geophysics (NPG).

Seismic section image detail enhancement method based on wavelet transform

Xiang-Yu Jia1 and Chang-Lei DongYe1,2 Xiang-Yu Jia and Chang-Lei DongYe
  • 1College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao, 266590, China
  • 2Shandong Province Key Laboratory of Wisdom Mine Information Technology,Shandong University of Science and Technology, Qingdao, 266590,China

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. First, 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 are reconstructed by wavelet can obtained the 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.

Xiang-Yu Jia and Chang-Lei DongYe
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Xiang-Yu Jia and Chang-Lei DongYe
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Latest update: 12 Nov 2019
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Short summary
We proposed a texture detail enhancement method for seismic section image. Wavelet transform can effectively separate structure information and detail information of image. High frequency noise in structural information can be estimated and removed effectively by using bilateral texture filter in low frequency subband. In the high frequency subband, adaptive enhancement transform can be used to enhance the image edge and texture information, and effectively remove the low frequency noise.
We proposed a texture detail enhancement method for seismic section image. Wavelet transform can...
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