Image restoration in multisensor missile seeker environments for design of intelligent integrated processing architectures

Malur K. Sundareshan; Ho-Yuen Pang; Sengvieng A. Amphay; Bryce M. Sundstrom

doi:10.1117/12.292823

31 October 1997 Image restoration in multisensor missile seeker environments for design of intelligent integrated processing architectures

Malur K. Sundareshan, Ho-Yuen Pang, Sengvieng A. Amphay, Bryce M. Sundstrom

Author Affiliations +

Proceedings Volume 3170, Image Reconstruction and Restoration II; (1997) https://doi.org/10.1117/12.292823
Event: Optical Science, Engineering and Instrumentation '97, 1997, San Diego, CA, United States

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.

Citation Download Citation

Malur K. Sundareshan, Ho-Yuen Pang, Sengvieng A. Amphay, and 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); https://doi.org/10.1117/12.292823

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available