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Curvelet reconstruction with sparsity-promoting inversion : successes and challenges Hennenfent, Gilles; Herrmann, Felix J.

Abstract

In this overview of the recent Curvelet Reconstruction with Sparsity-promoting Inversion (CRSI) method, we present our latest 2-D and 3-D interpolation results on both synthetic and real datasets. We compare these results to interpolated data using other existing methods. Finally, we discuss the challenges related to sparsity-promoting solvers for the large-scale problems the industry faces.

Item Metadata

Title
Curvelet reconstruction with sparsity-promoting inversion : successes and challenges
Creator
Hennenfent, Gilles; Herrmann, Felix J.
Contributor
University of British Columbia. Seismic Laboratory for Imaging and Modeling
Publisher
European Association of Geoscientists & Engineers
Date Issued
2007
Description
In this overview of the recent Curvelet Reconstruction with Sparsity-promoting Inversion (CRSI) method, we present our latest 2-D and 3-D interpolation results on both synthetic and real datasets. We compare these results to interpolated data using other existing methods. Finally, we discuss the challenges related to sparsity-promoting solvers for the large-scale problems the industry faces.
Extent
222856 bytes
Subject
Curvelet reconstruction sparsity promoting inversion; CRSI; Interpolation; Curvelets; 2D; 3D; Sparsity
Genre
Conference Paper
Type
Text
File Format
application/pdf
Language
eng
Date Available
2008-03-10
Provider
Vancouver : University of British Columbia Library
Rights
All rights reserved
DOI
10.14288/1.0107408
URI
http://hdl.handle.net/2429/555
Affiliation
Science, Faculty of; Earth and Ocean Sciences, Department of
Citation
Hennenfent, Gilles, Herrmann, Felix J. 2007. Curvelet reconstruction with sparsity-promoting inversion: successes and challenges. EAGE 69th Conference & Exhibition
Peer Review Status
Unreviewed
Scholarly Level
Graduate; Faculty
Copyright Holder
Herrmann, Felix J.
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