Characteristics of infrared imaging systems that benefit from superresolution reconstruction

Keith Kraeels, Ronald G. Driggers, Eddie Jacobs, Stephen Burks, Susan Young

Research output: Contribution to journalArticlepeer-review

14 Scopus citations


There have been numerous applications of superresolution reconstruction algorithms to improve the range performance of infrared imagers. These studies show there can be a dramatic improvement in range performance when superresolution algorithms are applied to undersampled 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 minimum blur spot size achievable on the focal plane is dependent on the system F/number. Hence, we provide a range of these sensor characteristics, for which there is a benefit from superresolution 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)
Pages (from-to)4594-4603
Number of pages10
JournalApplied optics
Issue number21
StatePublished - Jul 20 2007
Externally publishedYes

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics
  • Engineering (miscellaneous)
  • Electrical and Electronic Engineering


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