Seismic Denoising with Nonuniformly Sampled Curvelets

  • Authors:
  • Gilles Hennenfent;Felix J. Herrmann

  • Affiliations:
  • University of British Columbia;University of British Columbia

  • Venue:
  • Computing in Science and Engineering
  • Year:
  • 2006

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Abstract

In this article, we present an extension of the Fast Discrete Curvelet Transform (FDCT) to non-uniformly sampled data, NFDCT. With this extension to non-uniform grids, we are able to not only restore curvelet compression rates for non-uniformly sampled data but also remove noise and map the data to a regular grid.