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Proceedings Paper

Image restoration in multisensor missile seeker environments for design of intelligent integrated processing architectures
Author(s): Malur K. Sundareshan; Ho-Yuen Pang; Sengvieng A. Amphay; Bryce M. Sundstrom
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Paper Abstract

Two major factors that could limit successful implementations of image restoration and superresolution algorithms in missile seeker applications are, (i) lack of accurate knowledge of sensor point spread function (PSF) parameters, and (ii) noise-induced artifacts in the restoration process. The robustness properties of a recently developed blind iterative Maximum Likelihood (ML) restoration algorithm to inaccuracies in sensor PSF are established in this paper. Two modifications to this algorithm that successfully equip it to suppress artifacts resulting from the presence of high frequency noise components are outlined. Performance evaluation studies with 1D and 2D signals are included to demonstrate that these algorithms have superresolution capabilities while possessing also attractive robustness and artifact suppression properties. The algorithms developed here hence contribute to efficient designs of intelligent integrated processing architectures for smart weapon applications.

Paper Details

Date Published: 31 October 1997
PDF: 12 pages
Proc. SPIE 3170, Image Reconstruction and Restoration II, (31 October 1997); doi: 10.1117/12.292823
Show Author Affiliations
Malur K. Sundareshan, Univ. of Arizona (United States)
Ho-Yuen Pang, Univ. of Arizona (United States)
Sengvieng A. Amphay, Air Force Wright Lab. (United States)
Bryce M. Sundstrom, Air Force Wright Lab. (United States)

Published in SPIE Proceedings Vol. 3170:
Image Reconstruction and Restoration II
Timothy J. Schulz, Editor(s)

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