Multi-scale inherent variation features-based texture filtering

2017 ◽  
Vol 33 (6-8) ◽  
pp. 769-778 ◽  
Author(s):  
Chunxiao Liu ◽  
Huan Shao ◽  
Min Wu ◽  
Yanggang Zhou ◽  
Yaqi Shao ◽  
...  
2020 ◽  
Vol 27 (2) ◽  
pp. 253-260
Author(s):  
Xiang-Yu Jia ◽  
Chang-Lei DongYe

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.


2013 ◽  
Vol 24 (11) ◽  
pp. 115001 ◽  
Author(s):  
Xiangqian (Jane) Jiang ◽  
Hussein S Abdul-Rahman ◽  
Paul J Scott

2016 ◽  
Vol 136 (8) ◽  
pp. 1078-1084
Author(s):  
Shoichi Takei ◽  
Shuichi Akizuki ◽  
Manabu Hashimoto

2014 ◽  
Vol 2014 (2) ◽  
pp. 60-71
Author(s):  
Peyman Mohammadmoradi ◽  
◽  
Mohammad Rasaeii ◽  

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