A Deep-Learning-Based Denoising Method for Multiarea Surface Seismic Data

Author(s):  
Xintong Dong ◽  
Tie Zhong ◽  
Yue Li
2021 ◽  
Vol 39 (8) ◽  
pp. 2583-2593
Author(s):  
Maoning Wang ◽  
Lin Deng ◽  
Yuzhong Zhong ◽  
Jianwei Zhang ◽  
Fei Peng

2021 ◽  
Author(s):  
Sergei Petrov ◽  
Tapan Mukerji ◽  
Xin Zhang ◽  
Xinfei Yan
Keyword(s):  

2018 ◽  
Vol 232 ◽  
pp. 03025
Author(s):  
Baozhong Liu ◽  
Jianbin Liu

Aimed at the problem that the traditional image denoising algorithm is not effective in noise reduction, a new image denoising method is proposed. The method combines deep learning and non-local mean filtering algorithms to denoise the noisy image to obtain better noise reduction effect. By comparing with Gaussian filtering algorithm, median filtering algorithm, bilateral filtering algorithm and early non-local mean filtering algorithm, the noise reduction effect of the new algorithm is better than the traditional method and the peak signal to noise ratio is compared with the early non-local mean algorithm. The performance is better.


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