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Proceedings Paper

Reducing boundary distortion in image restoration
Author(s): Franklin T. Luk; David Vandevoorde
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Paper Abstract

The ill-conditioned nature of the inverse problem of image restoration produces dramatic consequences when the boundaries of the image are incorrectly modeled. Solutions to this problem are difficult to find in the literature. In this paper, we develop and analyze two sets of new approaches that are effective with algebraic restoration procedures.

Paper Details

Date Published: 28 October 1994
PDF: 12 pages
Proc. SPIE 2296, Advanced Signal Processing: Algorithms, Architectures, and Implementations V, (28 October 1994); doi: 10.1117/12.190867
Show Author Affiliations
Franklin T. Luk, Rensselaer Polytechnic Institute (Hong Kong)
David Vandevoorde, Rensselaer Polytechnic Institute (United States)


Published in SPIE Proceedings Vol. 2296:
Advanced Signal Processing: Algorithms, Architectures, and Implementations V
Franklin T. Luk, Editor(s)

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