Characteristics of infrared imaging systems which benefit from super-resolution reconstruction

Keith Krapels, Ronald G. Driggers, Eddie Jacobs, Stephen Burks, Susan Young, Gerald Holst

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

5 Scopus citations


There have been numerous applications of super-resolution reconstruction algorithms to improve the range performance of infrared imagers. These studies show there can be a dramatic improvement in range performance when super-resolution algorithms are applied to under-sampled imager outputs. These occur when the imager is moving relative to the target which creates different spatial samplings of the field of view for each frame. The degree of performance benefit is dependent on the relative sizes of the detector/spacing and the optical blur spot in focal plane space. The blur spot size on the focal plane is dependent on the system F-number. Hence, in this paper we provide a range of these sensor characteristics, for which there is a benefit from super-resolution reconstruction algorithms. Additionally, we quantify the potential performance improvements associated with these algorithms. We also provide three infrared sensor examples to show the range of improvements associated with provided guidelines.

Original languageEnglish (US)
Title of host publicationInfrared Imaging Systems
Subtitle of host publicationDesign, Analysis, Modeling, and Testing XVII
StatePublished - 2006
Externally publishedYes
EventInfrared Imaging Systems: Design, Analysis, Modeling, and Testing XVII - Kissimmee, FL, United States
Duration: Apr 19 2006Apr 20 2006

Publication series

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


ConferenceInfrared Imaging Systems: Design, Analysis, Modeling, and Testing XVII
Country/TerritoryUnited States
CityKissimmee, FL

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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