Compressive ultraspectral imaging using multiscale structured illumination

Vladislav Kravets, Paul Kondrashov, Adrian Stern

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

We present a novel compressive spectral imaging technique that attains spatially resolved ultraspectral resolution. The technique employs a multiscale sampling technique based on the Hadamard basis for the single pixel hyperspectral imager. The proposed multiscale sampling method offers high-quality images at a low compression ratio while also facilitating a preview image at a lower resolution by using the fast Hadamard transform.

Original languageEnglish
Pages (from-to)F32-F39
JournalApplied Optics
Volume58
Issue number22
DOIs
StatePublished - 1 Aug 2019

ASJC Scopus subject areas

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

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