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

Related subject area

Subject: Time series, machine learning, networks, stochastic processes, extreme events | Topic: Solid earth, continental surface, biogeochemistry | Techniques: Theory
Application of Lévy processes in modelling (geodetic) time series with mixed spectra
Jean-Philippe Montillet, Xiaoxing He, Kegen Yu, and Changliang Xiong
Nonlin. Processes Geophys., 28, 121–134,,, 2021
Short summary

Cited articles

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Farbman, Z., Fattal, R., Lischinski, D., and Szeliski, R.: Edge-preserving decompositions for multi-scale tone and detail manipulation, ACM T. Graphic., 27, 1–10,, 2008. 
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.