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Proceedings Paper

Variational methods for compressive sampling
Author(s): Justin Romberg
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Paper Abstract

We consider two natural extensions of the standard (lower case script "L")1 minimization framework for compressive sampling. The two methods, one based on penalizing second-order derivatives and one based on the redundant wavelet transform, can also be viewed as variational methods which extend the basic total-variation recovery program. A numerical example illustrates that these methods tend to produce smoother images than the standard recovery programs.

Paper Details

Date Published: 28 February 2007
PDF: 5 pages
Proc. SPIE 6498, Computational Imaging V, 64980J (28 February 2007); doi: 10.1117/12.715427
Show Author Affiliations
Justin Romberg, Georgia Institute of Technology (United States)


Published in SPIE Proceedings Vol. 6498:
Computational Imaging V
Charles A. Bouman; Eric L. Miller; Ilya Pollak, Editor(s)

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