Liyuan Weng, Yatong Zhou, Jingfei He, Xiaolu Li. Seismic Signal Denoising Based on Region Segmentation Gradient Histogram Preservation[J]. Laser & Optoelectronics Progress, 2020, 57(10): 101003
- Laser & Optoelectronics Progress
- Vol. 57, Issue 10, 101003 (2020)
Fig. 1. Flow chart of denoising based on SGHP algorithm
Fig. 2. Using K-means clustering to segment seismic signals with noise in different regions. (a) Region I; (b) region II
Fig. 3. Gradient histogram estimation of two regions with noisy signal. (a) Region I; (b) region II
Fig. 4. SGHP denoising results
Fig. 5. Denoising effects of the algorithms of NLM、 BM3D、 CSR, and SGHP on synthetic signal with 20% noise. (a) Original signal; (b) signal with 20% noise; (c) NLM denoising effect; (d) BM3D denoising effect; (e) CSR denoising effect; (f) SGHP denoising effect
Fig. 6. Denoising effect of NLM, BM3D, CSR, and SGHP algorithms on post-stack land signal with 20% noise. (a) Original seismic signal; (b) Gaussian noise with 20% noise; (c) NLM denoising effect; (d) BM3D denoising effect; (e) CSR denoising effect; (f) SGHP denoising effect
|
Table 1. Add different levels of noise to the post-stack land signal, and compare the PSNR and SSIM values of each algorithm after denoising
Set citation alerts for the article
Please enter your email address
© Copyright 2018-2021 | Chinese Laser Press. All Rights Reserved 沪ICP备15018463号-20