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Seismic Denoising with Nonuniformly Sampled Curvelets
May/June 2006 (vol. 8 no. 3)
pp. 16-25
Gilles Hennenfent, University of British Columbia
Felix J. Herrmann, University of British Columbia
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.
Index Terms:
noise, signal interaction, nonuniform Fourier transform, overcomplete signal representation, multiscale transform, shrinkage, denoising, curvelet transform, seismic processing
Citation:
Gilles Hennenfent, Felix J. Herrmann, "Seismic Denoising with Nonuniformly Sampled Curvelets," Computing in Science and Engineering, vol. 8, no. 3, pp. 16-25, May-June 2006, doi:10.1109/MCSE.2006.49
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