Seismic denoising with nonuniformly sampled curvelets

Computing in Science & EngineeringPublished 28 April 2006

Gilles Hennenfent, Felix J. Herrmann

DOI10.1109/mcse.2006.49

Source URL

Citations262

SJR quartileQ1

SJR score0.73

SNIP1.05

TL;DR

This extension of the fast discrete curvelet transform (FDCT) not only restores curvelet compression rates for nonuniformly sampled data but also removes noise and maps the data to a regular grid.

Abstract

The authors present an extension of the fast discrete curvelet transform (FDCT) to nonuniformly sampled data. This extension not only restores curvelet compression rates for nonuniformly sampled data but also removes noise and maps the data to a regular grid

Keywords

Computer ScienceEarth and Planetary SciencesEngineering

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