An update on PWP enhancement for LWIR target acquisition sensors

Robert Short, Duke Littlejohn, Ronald Driggers

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations


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.

Original languageEnglish (US)
Title of host publicationInfrared Imaging Systems
Subtitle of host publicationDesign, Analysis, Modeling, and Testing XXX
EditorsGerald C. Holst, Keith A. Krapels
ISBN (Electronic)9781510626676
StatePublished - 2019
Externally publishedYes
EventInfrared Imaging Systems: Design, Analysis, Modeling, and Testing XXX 2019 - Baltimore, United States
Duration: Apr 16 2019Apr 18 2019

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X


ConferenceInfrared Imaging Systems: Design, Analysis, Modeling, and Testing XXX 2019
Country/TerritoryUnited States


  • Image processing
  • Long wavelength infrared
  • Modulation transfer functions
  • Sensors

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


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