Computational imaging in a multiplexed imager with static multispectral encoding

Johann Veras, Robert Muise, Kevin Hines, Abhijit Mahalanobis, Mark A Neifeld

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

Abstract

We simulate and study various computational techniques for image reconstruction applied to a multiplexed Mid-wave-IR Imager. The imager consists of two arms where one is dedicated to high resolution imaging using a lower resolution Focal Plane Array and the other is a single measurement Multispectral imager which uses dispersive optics. We exploit the compressibility of images to estimate a high resolution image and its corresponding lower resolution multispectral data cube using standard computational techniques.

Original languageEnglish (US)
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
PublisherSPIE
Volume9484
ISBN (Print)9781628416008
DOIs
StatePublished - 2015
EventCompressive Sensing IV - Baltimore, United States
Duration: Apr 22 2015Apr 24 2015

Other

OtherCompressive Sensing IV
CountryUnited States
CityBaltimore
Period4/22/154/24/15

ASJC Scopus subject areas

  • Applied Mathematics
  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics

Fingerprint Dive into the research topics of 'Computational imaging in a multiplexed imager with static multispectral encoding'. Together they form a unique fingerprint.

  • Cite this

    Veras, J., Muise, R., Hines, K., Mahalanobis, A., & Neifeld, M. A. (2015). Computational imaging in a multiplexed imager with static multispectral encoding. In Proceedings of SPIE - The International Society for Optical Engineering (Vol. 9484). [948407] SPIE. https://doi.org/10.1117/12.2177062