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Proceedings Paper

Parallel deconvolution methods for three dimensional image restoration
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Paper Abstract

Restoration by deconvolution of three-dimensional images that have been contaminated by noise and spatially invariant blur is computationally demanding. We describe efficient parallel implementations of iterative methods for image deconvolution on a distributed memory computing cluster.

Paper Details

Date Published: 24 December 2003
PDF: 8 pages
Proc. SPIE 5205, Advanced Signal Processing Algorithms, Architectures, and Implementations XIII, (24 December 2003); doi: 10.1117/12.507894
Show Author Affiliations
Bryan W. Lewis, Rocketcalc LLC (United States)
Lothar Reichel, Kent State Univ. (United States)


Published in SPIE Proceedings Vol. 5205:
Advanced Signal Processing Algorithms, Architectures, and Implementations XIII
Franklin T. Luk, Editor(s)

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