[1] Su G S, Li C C. Frequency space (3D) F-XYZ domain prediction denoising technology[J]. Oil Geophysical Prospecting, 33, 95-103(1998).

[2] Zhang H, Chen X H, Yang H Y et al. Optimal wavelet basis selection method for seismic signals[J]. Oil Geophysical Prospecting, 46, 70-75(2011).

[3] Tian Y C, Wang X W, Peng G X et al. Noise suppression technology for wide azimuth seismic data[J]. Oil Geophysical Prospecting, 48, 187-191(2013).

[4] Zhang Z H, Sun C Y, Yao Y Q et al. Research on the application of 3D curvelet transform to seismic data denoising[J]. Geophysical Prospecting for Petroleum, 53, 421-430(2014).

[5] Li F, Duan W, Zhao R et al. Seismic signal to noise ratio improvement with volume τ-p transform in OVT domain[J]. Oil Geophysical Prospecting, 50, 418-423(2015). http://www.researchgate.net/publication/283428995_Seismic_signal_to_noise_ratio_improvement_with_volume_t-p_transform_in_OVT_domain

[6] Zhang G Z, Chang D K, Wang Y H et al. Random noise suppression of 3D seismic data based on sparse redundancy representation[J]. Oil Geophysical Prospecting, 50, 600-606(2015).

[7] Chen Y, Huang W, Zhang D et al. An open-sourse Matlab code package for improved rank-reduction 3D seismic data denoising and reconstruction[J]. Computers & Geosciences, 95, 59-66(2016). http://dl.acm.org/citation.cfm?id=2994913

[8] Peng C, Chang Z, Han C J et al. Seismic noise decay based on Contourlet transform[J]. Progress in Exploration Geophysics, 31, 274-277(2008).

[9] Deans S R. The radon transform and some of its application[M]. Mineola, New York: Dover Publications(1983).

[10] Sabbione J I, Velis D R, Sacchi M D. Microseismic data denoising via an apex-shifted hyperbolic Radon transform. [C]// Society of Exploration Geophysicists, SEG Technical Program Expanded Abstracts, 2155-2161(2013).

[11] Duncan G, Beresford G. Some analyses of 2-D median f-k filters[J]. Geophysics, 60, 1157-1168(1995). http://scitation.aip.org/getabs/servlet/GetabsServlet?prog=normal&id=GPYSA7000060000004001157000001&idtype=cvips&prog=normal

[12] Wang W J, Yu X L, Ma W S et al. Aspheric interferogram image denoising method based on the improved P-M model and weighed composite median filter[J]. Laser & Optoelectronics Progress, 53, 031002(2016).

[13] Yang Q L, Wu G Z, Zhao X L[J]. Application of 3D anisotropic diffusion filter in seismic data processing Progress in Geophysics, 2015, 2287-2292.

[14] Zhou C, Liu N W, He T B et al. Application of wavelet threshold denoising for breath analysis based on laser spectroscopy[J]. Chinese Journal of Lasers, 44, 1111003(2017).

[15] Barducci A, Guzzi D, Marcoionni P et al. Assessing noise amplitude in remotely sensed images using bit-plane and scatterplot approaches[J]. IEEE Transactions on Geoscience and Remote Sensing, 45, 2665-2675(2007). http://ieeexplore.ieee.org/document/4276875/

[16] Zoran D, Weiss Y. Scale invariance and noise in natural images. [C]// IEEE, International Conference on Computer Vision, IEEE, 2209-2216(2009).

[17] Hashemi M, Beheshti S. Adaptive noise variance estimation in BayesShrink[J]. IEEE Signal Processing Letters, 17, 12-15(2009). http://ieeexplore.ieee.org/document/5210207/

[18] Pyatykh S, Hesser J, Zheng L. Image noise level estimation by principal component analysis[J]. IEEE Transactions on Image Processing, 22, 687-699(2013). http://europepmc.org/abstract/MED/23033431

[19] Ghazal M, Amer A. Homogeneity localization using particle filters with application to noise estimation[J]. IEEE Transactions on Image Processing, 20, 1788-1796(2011). http://ieeexplore.ieee.org/document/5659479/

[20] Xu P, Xiao C, Zhang J C et al. Denoising method for plant hyperspectral data based on grouped 3D discrete cosine transform dictionary[J]. Acta Optica Sinica, 37, 0630003(2017).

[21] Amani S, Gholami A, Niestanak A J. Seismic random noise attenuation via 3D block matching[J]. Journal of Applied Geophysics, 136, 353-363(2017). http://www.sciencedirect.com/science/article/pii/S0926985116305201

[22] Maggioni M, Katkovnik V, Egiazarian K et al. Nonlocal transform-domain filter for volumetric data denoising and reconstruction[J]. IEEE Transactions on Image Processing, 22, 119-133(2013). http://europepmc.org/abstract/MED/22868570

[23] Aja-Fernandez S. Vegas-Sanchez-Ferrero G, Martin-Fernandez M, et al. Automatic noise estimation in images using local statistics. Additive and multiplicative cases[J]. Image & Vision Computing, 27, 756-770(2009).

[24] Wu Z C, Liu T Y[J]. Wavelet transform methods in seismic data noise attenuation Progress in Geophysics, 2008, 493-499.