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Proceedings Paper

Superresolution techniques with application to guided munitions
Author(s): David S. Flynn; Breck A. Sieglinger; Bernard P. Asner; Martin F. Wehling; Sengvieng A. Amphay
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Paper Abstract

This paper discusses the implementation and evaluation of several different algorithms for image superresolution (SR). Such processing is of interest in many imaging situations where resolution is limited by range, wavelength, aperture size, detector size, or other physical or practical constraints. A relevant example is the application of improved resolution to passive millimeter wave imaging sensors for munitions systems. In this paper, we refer to superresolution as processing which recovers spatial frequency components of a measured image that are completely suppressed by the image formation process. We demonstrate performance of several iterative algorithms, and discuss several aspects of the implementation and evaluation of SR processing.

Paper Details

Date Published: 1 October 1998
PDF: 10 pages
Proc. SPIE 3460, Applications of Digital Image Processing XXI, (1 October 1998); doi: 10.1117/12.323226
Show Author Affiliations
David S. Flynn, Seeker Technologies Inc. (United States)
Breck A. Sieglinger, Consultant and Georgia Tech Research Institute (United States)
Bernard P. Asner, Consultant (United States)
Martin F. Wehling, Air Force Research Lab. (United States)
Sengvieng A. Amphay, Air Force Research Lab. (United States)

Published in SPIE Proceedings Vol. 3460:
Applications of Digital Image Processing XXI
Andrew G. Tescher, Editor(s)

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