1887

Abstract

Curvelet reconstruction with sparsity-promoting inversion:successes and challenges Gilles Hennenfent (Seismic Laboratory for Imaging and Modeling Department of Earth and Ocean Sciences The University of British Columbia) and Felix J. Herrmann (Seismic Laboratory for Imaging and Modeling Department of Earth and Ocean Sciences The University of British Columbia) SUMMARY____________________________________________________________ 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

Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.201405090
2007-06-10
2024-03-29
Loading full text...

Full text loading...

http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.201405090
Loading
This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error