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An update on PWP enhancement for LWIR target acquisition sensors
Author(s): Robert Short; Duke Littlejohn; Ronald Driggers
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Paper Abstract

Advanced LWIR sensors have recently emerged that have all or some of the following features: large array formats, small detectors, Fλ/d over 2 (well-sampled and low in-band aliasing), and ROICs capable of using all available photons (either through deep wells, faster framerates, or digital readout). We have spent the past year studying MTF restoration techniques for these systems. Initial application of our restoration approach (called PWP for the combination of small pitch, deep electron wells, and image processing) have encountered issues with real imagery. Problems for implementing restoration may include: fixed pattern noise, aliasing, and interpolation methods. We provide an update on our findings and a path forward for successful optimization of future advanced LWIR imagers.

Paper Details

Date Published: 14 May 2019
PDF: 10 pages
Proc. SPIE 11001, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXX, 110010M (14 May 2019); doi: 10.1117/12.2519088
Show Author Affiliations
Robert Short, Univ. of Central Florida (United States)
Duke Littlejohn, Leonardo DRS (United States)
Ronald Driggers, Univ. of Central Florida (United States)


Published in SPIE Proceedings Vol. 11001:
Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXX
Gerald C. Holst; Keith A. Krapels, Editor(s)

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