Seismic section image detail enhancement method based on bilateral texture filtering and adaptive enhancement of texture details
<p>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 enhancem...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2020-04-01
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| Series: | Nonlinear Processes in Geophysics |
| Online Access: | https://www.nonlin-processes-geophys.net/27/253/2020/npg-27-253-2020.pdf |
| Summary: | <p>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.</p> |
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| ISSN: | 1023-5809 1607-7946 |