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Proceedings Paper

NVThermIP modeling of super-resolution algorithms
Author(s): Eddie Jacobs; Ronald G. Driggers; Susan Young; Keith Krapels; Gene Tener; Jennifer Park
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Paper Abstract

Undersampled imager performance enhancement has been demonstrated using super-resolution reconstruction techniques. In these techniques, the optical flow of the scene or the relative sub-pixel shift between frames is calculated and a high-resolution grid is populated with spatial data based on scene motion. Increases in performance have been demonstrated for observers viewing static images obtained from super-resolving a sequence of frames in a dynamic scene and for dynamic framing sensors. In this paper, we provide explicit guidance on how to model super-resolution reconstruction algorithms within existing thermal analysis models such as NVThermIP. The guidance in this paper will be restricted to static target/background scenarios. Background is given on the interaction of sensitivity and resolution in the context of a super-resolution process and how to relate these characteristics to parameters within the model. We then show results from representative algorithms modeled with NVThermIP. General guidelines for analyzing the effects of super-resolution in models are then presented.

Paper Details

Date Published: 12 May 2005
PDF: 11 pages
Proc. SPIE 5784, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XVI, (12 May 2005); doi: 10.1117/12.604900
Show Author Affiliations
Eddie Jacobs, U.S. Army Night Vision and Electronic Sensors Directorate (United States)
Ronald G. Driggers, U.S. Army Night Vision and Electronic Sensors Directorate (United States)
Susan Young, Army Research Lab. (United States)
Keith Krapels, Office of Naval Research (United States)
Gene Tener, Lockheed Martin Corp. (United States)
Jennifer Park, Lockheed Martin Corp. (United States)


Published in SPIE Proceedings Vol. 5784:
Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XVI
Gerald C. Holst, Editor(s)

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