Pixel resolution improvement using a sliding mask

A. Mahalanobis, R. Shilling, R. Muise, K. Hines, Mark Neifeld

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

1 Scopus citations

Abstract

We propose a short wave infra-red (SWIR) computational imager that employs a sliding mask in an intermediate image plane to produce high resolution images from several encoded lower resolution measurements. The goal is to demonstrate that a relatively small (and consequently inexpensive) focal plane arrays (FPAs) can be used in such architectures to produce high resolution images that would require a much larger FPA. The imaging system is described in terms of the sensor parameters (such as field of view and angular resolution), dimensions of the mask, the detector and FPA size, and some of the underlying design trades are identified. We validate the fundamental principle using a SWIR testbed, and demonstrate the ability to image a scene with four times the native resolution of the FPA.

Original languageEnglish (US)
Title of host publication2016 15th Workshop on Information Optics, WIO 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509021635
DOIs
StatePublished - Nov 15 2016
Event15th Workshop on Information Optics, WIO 2016 - Barcelona, Spain
Duration: Jul 11 2016Jul 15 2016

Publication series

Name2016 15th Workshop on Information Optics, WIO 2016

Other

Other15th Workshop on Information Optics, WIO 2016
Country/TerritorySpain
CityBarcelona
Period7/11/167/15/16

Keywords

  • Computational Imaging
  • Super-Resolution

ASJC Scopus subject areas

  • Signal Processing
  • Instrumentation
  • Atomic and Molecular Physics, and Optics

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