Large-scale optimization techniques for nonnegative image restorations

Marielba Rojas; Trond Steihaug

doi:10.1117/12.452008

6 December 2002 Large-scale optimization techniques for nonnegative image restorations

Marielba Rojas, Trond Steihaug

Proceedings Volume 4791, Advanced Signal Processing Algorithms, Architectures, and Implementations XII; (2002) https://doi.org/10.1117/12.452008
Event: International Symposium on Optical Science and Technology, 2002, Seattle, WA, United States

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.

Citation Download Citation

Marielba Rojas and Trond Steihaug "Large-scale optimization techniques for nonnegative image restorations", Proc. SPIE 4791, Advanced Signal Processing Algorithms, Architectures, and Implementations XII, (6 December 2002); https://doi.org/10.1117/12.452008

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