Applied Geophysics

, Volume 10, Issue 1, pp 33–40

Seismic random noise suppression using an adaptive nonlocal means algorithm


  • Shuai Shang
    • College of Geo-Exploration Science and TechnologyJilin University
  • Li-Guo Han
    • College of Geo-Exploration Science and TechnologyJilin University
  • Qing-Tian Lv
    • Chinese Academy of Geological Sciences
  • Chen-Qing Tan
    • College of Geo-Exploration Science and TechnologyJilin University

DOI: 10.1007/s11770-013-0362-8

Cite this article as:
Shang, S., Han, L., Lv, Q. et al. Appl. Geophys. (2013) 10: 33. doi:10.1007/s11770-013-0362-8


Nonlocal means filtering is a noise attenuation method based on redundancies in image information. It is also a nonlocal denoising method that uses the self-similarity of an image, assuming that the valid structures of the image have a certain degree of repeatability that the random noise lacks. In this paper, we use nonlocal means filtering in seismic random noise suppression. To overcome the problems caused by expensive computational costs and improper filter parameters, this paper proposes a block-wise implementation of the nonlocal means method with adaptive filter parameter estimation. Tests with synthetic data and real 2D post-stack seismic data demonstrate that the proposed algorithm better preserves valid seismic information and has a higher accuracy when compared with traditional seismic denoising methods (e.g., f-x deconvolution), which is important for subsequent seismic processing and interpretation.


seismic prospectingadaptivenonlocal meansrandom noise attenuation

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© Editorial Office of Applied Geophysics and Springer-Verlag Berlin Heidelberg 2013