Paper
14 May 2019 An update on PWP enhancement for LWIR target acquisition sensors
Robert Short, Duke Littlejohn, Ronald Driggers
Author Affiliations +
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.
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Robert Short, Duke Littlejohn, and Ronald Driggers "An update on PWP enhancement for LWIR target acquisition sensors", Proc. SPIE 11001, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXX, 110010M (14 May 2019); https://doi.org/10.1117/12.2519088
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KEYWORDS
Sensors

Long wavelength infrared

Modulation transfer functions

Signal to noise ratio

Spatial frequencies

Image processing

Electronic filtering

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