Issue No.03 - May/June (2006 vol.8)
Gilles Hennenfent , University of British Columbia
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MCSE.2006.49
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.
noise, signal interaction, nonuniform Fourier transform, overcomplete signal representation, multiscale transform, shrinkage, denoising, curvelet transform, seismic processing
Gilles Hennenfent, "Seismic Denoising with Nonuniformly Sampled Curvelets", Computing in Science & Engineering, vol.8, no. 3, pp. 16-25, May/June 2006, doi:10.1109/MCSE.2006.49