Laser & Optoelectronics Progress, Volume. 55, Issue 4, 041007(2018)
Three Dimensional Seismic Signal Denoising Based on Four-Dimensional Block Matching Cooperative Filtering Combined with Principle Component Analysis
Fig. 1. Noise reduction curve of BM4D algorithm for different noise standard deviations
Fig. 2. Comparison of noise reduction results of 3D seismic signal 1 acquired by BM4D in combination with different noise estimates. (a) Original signal; (b) 5% noise; (c) PCA+BM4D; (d) Kurtosis+BM4D; (e) Mode+BM4D; (f) Median+BM4D; (g) Min+BM4D; (h) Mad+BM4D; (i) dwt
Fig. 3. Comparison of noise reduction results of 3D seismic signal 2 acquired by BM4D in combination with different noise estimates. (a) Original signal; (b) 5% noise; (c) PCA+BM4D; (d) Kurtosis+BM4D; (e) Mode+BM4D; (f) Median+BM4D; (g) Min+BM4D; (h) Mad+BM4D
Fig. 4. Denoising performance curves of six algorithms (combined with BM4D) with noise standard deviation. (a) Absolute error of noise estimation; (b) noise estimation time; (c) SNR after denoising; (d) RMSE after denoising
|
Get Citation
Copy Citation Text
Huan Zhang, Yue Chi, Yatong Zhou, Tingting Ren. Three Dimensional Seismic Signal Denoising Based on Four-Dimensional Block Matching Cooperative Filtering Combined with Principle Component Analysis[J]. Laser & Optoelectronics Progress, 2018, 55(4): 041007
Category: Image processing
Received: Aug. 25, 2017
Accepted: --
Published Online: Sep. 11, 2018
The Author Email: Chi Yue (chiyueliuxin@126.com)