Share Email Print
cover

Proceedings Paper

Large-scale optimization techniques for nonnegative image restorations
Author(s): Marielba Rojas; Trond Steihaug
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

We describe an optimization method for large-scale nonnegative regularization. The method is an interior-point iteration that requires the solution of a large-scale and possibly ill-conditioned parameterized trust-region subproblem at each step. The method relies on recently developed techniques for the large-scale trust-region subproblem. We present preliminary numerical results on image restoration problems.

Paper Details

Date Published: 6 December 2002
PDF: 10 pages
Proc. SPIE 4791, Advanced Signal Processing Algorithms, Architectures, and Implementations XII, (6 December 2002); doi: 10.1117/12.452008
Show Author Affiliations
Marielba Rojas, Wake Forest Univ. (United States)
Trond Steihaug, Univ. of Bergen (Norway)


Published in SPIE Proceedings Vol. 4791:
Advanced Signal Processing Algorithms, Architectures, and Implementations XII
Franklin T. Luk, Editor(s)

© SPIE. Terms of Use
Back to Top