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