Super-resolution imaging system developed from vector superoscillatory field illumination

Abstract

Superoscillations are oscillations of a band limited waveform with a local frequency higher than the bandlimit. Spatial superoscillations show great potential for performing super-resolution imaging. However, these superoscillatory waveforms are inevitably surrounded by high intensity sidelobes which severely limit the usable super-resolved area of an image. In this study, we demonstrate how polarization engineering can be used in some circumstances to suppress superoscillation sidelobes, taking advantage of the transverse wave nature of light. We illustrate the principle by a model super-resolution imaging system that can image Rayleigh scatterers with separations smaller than the classic Rayleigh criterion.

Document Details

Document Type
Pub Defense Publication
Publication Date
Aug 08, 2023
Source ID
10.1364/ol.497243

Entities

People

  • Greg Gbur
  • Rui Qi

Organizations

  • Air Force Office of Scientific Research
  • University of North Carolina at Charlotte

Tags

Fields of Study

  • Physics

Readers

  • Educational Psychology
  • Image Processing and Computer Vision.
  • Radar Systems Engineering.