31 October 1997 Image restoration in multisensor missile seeker environments for design of intelligent integrated processing architectures
Author Affiliations +
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.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Malur K. Sundareshan, Malur K. Sundareshan, Ho-Yuen Pang, Ho-Yuen Pang, Sengvieng A. Amphay, Sengvieng A. Amphay, Bryce M. Sundstrom, Bryce M. Sundstrom, "Image restoration in multisensor missile seeker environments for design of intelligent integrated processing architectures", Proc. SPIE 3170, Image Reconstruction and Restoration II, (31 October 1997); doi: 10.1117/12.292823; https://doi.org/10.1117/12.292823
PROCEEDINGS
12 PAGES


SHARE
Back to Top