@inproceedings{9b7a94cbbd244c7faa762408518f26de,
title = "An update on PWP enhancement for LWIR target acquisition sensors",
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.",
keywords = "Image processing, Long wavelength infrared, Modulation transfer functions, Sensors",
author = "Robert Short and Duke Littlejohn and Ronald Driggers",
note = "Funding Information: The authors would like to thank DRS Technologies for funding this work. Publisher Copyright: {\textcopyright} 2019 SPIE. Downloading of the abstract is permitted for personal use only.; Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXX 2019 ; Conference date: 16-04-2019 Through 18-04-2019",
year = "2019",
doi = "10.1117/12.2519088",
language = "English (US)",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Holst, {Gerald C.} and Krapels, {Keith A.}",
booktitle = "Infrared Imaging Systems",
}