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Proceedings Paper

Reconstruction of discontinuous solutions from blurred data
Author(s): Andre Neubauer; Otmar Scherzer
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Paper Abstract

This paper is concerned with the estimation of underlying discontinuous functions from error-contaminated and blurred observations. Such problems occur in a number of important applications, particularly in inverse problems and signal and image reconstruction. We compare three different regularization techniques for estimating discontinuous signals.

Paper Details

Date Published: 9 December 1997
PDF: 8 pages
Proc. SPIE 3171, Computational, Experimental, and Numerical Methods for Solving Ill-Posed Inverse Imaging Problems: Medical and Nonmedical Applications, (9 December 1997); doi: 10.1117/12.279730
Show Author Affiliations
Andre Neubauer, Univ. Linz (Austria)
Otmar Scherzer, Univ. Linz (Austria)


Published in SPIE Proceedings Vol. 3171:
Computational, Experimental, and Numerical Methods for Solving Ill-Posed Inverse Imaging Problems: Medical and Nonmedical Applications
Randall Locke Barbour; Mark J. Carvlin; Michael A. Fiddy, Editor(s)

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