Superresolution performance for undersampled imagers

Ronald G. Driggers, Keith Krapels, Steve Murrill, Susan Young, Matthew Thielke, Jonathon Schuler

Research output: Contribution to journalArticlepeer-review

21 Scopus citations

Abstract

Enhancement of undersampled imager performance has been demonstrated using superresolution techniques. In these techniques, the optical flow of the scene or the relative subpixel shifts among various snapshots of the scene are calculated, and a high-resolution grid is populated with spatial data using various algorithms. Performance enhancement has been demonstrated for the case of a static image with the undersampled imager compared with a static image that has been acquired through a frame series in a dynamic scene. In this research, the performance is compared for four cases: static image with undersampled imager, static image with superresolution frame sequence, dynamic image with undersampled imager, and dynamic image with superresolution frame sequence.

Original languageEnglish (US)
Pages (from-to)1-9
Number of pages9
JournalOptical Engineering
Volume44
Issue number1
DOIs
StatePublished - Jan 2005
Externally publishedYes

Keywords

  • Imager performance
  • Sampling

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics
  • Engineering(all)

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