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Localized 2-D filter-based linear coherent noise attenuation.

W Lu1

  • 1Inst. of Inf. Process., Tsinghua Univ., Beijing. lwkmf@mail.tsinghua.edu.cn

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|February 8, 2008
PubMed
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A new localized 2-D filter effectively reduces linear noise in seismic images. This novel method, derived from frequency-wavenumber and Radon transform filters, shows superior performance compared to conventional techniques.

Area of Science:

  • Geophysics
  • Signal Processing
  • Image Analysis

Background:

  • Seismic imaging often suffers from linear coherent noise, which can obscure important geological features.
  • Conventional filtering methods like frequency-wavenumber and Radon transform filters have limitations in effectively attenuating such noise while preserving image details.

Purpose of the Study:

  • To propose and evaluate a novel localized two-dimensional (2-D) filter for attenuating linear coherent noise in seismic images.
  • To demonstrate the advantages of the proposed filter over existing methods in terms of noise reduction and preservation of image quality.

Main Methods:

  • A novel localized 2-D filter was developed, integrating principles from frequency-wavenumber and Radon transform filters.
  • The filtering operation was strategically applied during the Fourier projection stage, enhancing local properties and minimizing distortion.

Related Experiment Videos

  • The proposed method was applied to seismic image data to attenuate linear coherent noise.

    • Main Results:

    • The proposed localized 2-D filter demonstrated a significant reduction in linear coherent noise.
    • Comparisons showed that the new method outperformed both the conventional frequency-wavenumber filter and the Radon transform filter.
    • The filtering process resulted in less distortion compared to traditional approaches.

    Conclusions:

    • The novel localized 2-D filter offers a superior solution for attenuating linear coherent noise in seismic imaging.
    • This advanced filtering technique preserves image integrity while effectively removing unwanted noise, outperforming existing methods.