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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
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Creator | |
Contributor | |
Publisher |
European Association of Geoscientists & Engineers
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Date Issued |
2007
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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.
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Extent |
222856 bytes
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Subject | |
Genre | |
Type | |
File Format |
application/pdf
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Language |
eng
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Date Available |
2008-03-10
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Provider |
Vancouver : University of British Columbia Library
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Rights |
All rights reserved
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DOI |
10.14288/1.0107408
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URI | |
Affiliation | |
Citation |
Hennenfent, Gilles, Herrmann, Felix J. 2007. Curvelet reconstruction with sparsity-promoting inversion: successes and challenges. EAGE 69th Conference & Exhibition
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Peer Review Status |
Unreviewed
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Scholarly Level |
Graduate; Faculty
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Copyright Holder |
Herrmann, Felix J.
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Aggregated Source Repository |
DSpace
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All rights reserved