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

Jia, Xiang-Yu; DongYe, Chang-Lei

doi:https://doi.org/10.5194/npg-27-253-2020

Articles | Volume 27, issue 2

https://doi.org/10.5194/npg-27-253-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/npg-27-253-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 27, issue 2

Research article

|

24 Apr 2020

Research article |

| 24 Apr 2020

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

Xiang-Yu Jia and Chang-Lei DongYe

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Final revised paper (published on 24 Apr 2020)
Preprint (discussion started on 11 Oct 2019)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC1: 'Some review comments', Sergio Chávez-Pérez, 10 Nov 2019
- AC1: 'Response to Comments', Chang-Lei DongYe, 06 Feb 2020
RC2: 'Revision of the manuscript “Seismic section image detail enhancement method based on wavelet transform” by Xiang-Yu Jia and Chang-Lei Dong Ye', Anonymous Referee #2, 20 Jan 2020
- AC2: 'Response to Comments', Chang-Lei DongYe, 06 Feb 2020

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by Chang-Lei DongYe on behalf of the Authors (06 Feb 2020) Manuscript

ED: Referee Nomination & Report Request started (10 Feb 2020) by Luciano Telesca

RR by Anonymous Referee #2 (28 Feb 2020)

ED: Publish subject to technical corrections (15 Mar 2020) by Luciano Telesca

AR by Chang-Lei DongYe on behalf of the Authors (17 Mar 2020) Author's response Manuscript

Short summary

We proposed a texture detail enhancement method for seismic section image. Wavelet transform can effectively separate structure information and detail information of an image. High-frequency noise in structural information can be estimated and removed effectively by using bilateral texture filter in a low-frequency sub-band. In the high-frequency sub-band, adaptive enhancement transform can be used to enhance the image edge and texture information and effectively remove the low-frequency noise.