Curvelet reconstruction with sparsity-promoting inversion : successes and challenges

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.

Links & Downloads

1. Hennenfent, Gilles, Herrmann, Felix J. 2007. Curvelet reconstruction with sparsity-promoting inversion: successes and challenges. EAGE 69th Conference & Exhibition
2. http://hdl.handle.net/2429/555

Tags

CRSI

interpolation

curvelets

2D

3D

sparsity

Additional Fields

Identifer	oai:union.ndltd.org:LACETR/oai:collectionscanada.gc.ca:BVAU.2429/555
Date	January 2007
Creators	Hennenfent, Gilles, Herrmann, Felix J.
Publisher	European Association of Geoscientists & Engineers
Source Sets	Library and Archives Canada ETDs Repository / Centre d'archives des thèses électroniques de Bibliothèque et Archives Canada
Language	English
Detected Language	English
Type	text
Rights	Herrmann, Felix J.