Noise reduction by vector median filtering

By Yike Liu. 2013

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Structure-oriented singular value decomposition for random noise attenuation of seismic data (2015, background): “The second is based on the statistical property of seismic profile, such as the mean filter (Bonar and Sacchi, 2012), median filter (Liu, 2013; Chen, 2014; Chen et al., 2014b).”
Iterative deblending of simultaneous-source seismic data using seislet-domain shaping regularization (2014, methodology): “…f‐x predictive filtering (Canales, 1984; Sacchi and Kuehl, 2000; Galbraith and Yao, 2012; Chen and Ma, 2014) or median filter (Liu et al., 2009b; Huo et al., 2012; Liu, 2013) can be used to preserve the coherent useful subsurface reflection and at the same time to remove incoherent blending noise.”
Damped multichannel singular spectrum analysis for 3D random noise attenuation (2015, background): “…al., 2011) such as the f − x deconvolution (Canales, 1984; Gulunay, 1986) and f − xy deconcolution (Gulunay, 2000; Liu et al., 2012), median filtering (Liu, 2013; Chen, 2015; Gan et al., 2016), Karhunen-Loeve transform (Jones and Levy, 1987), sparse transform domain thresholding strategies…”