Multiframe image estimation for coded aperture snapshot spectral imagers

David Kittle, Kerkil Choi, Ashwin Wagadarikar, David J. Brady

Research output: Contribution to journalArticlepeer-review

212 Scopus citations

Abstract

A coded aperture snapshot spectral imager (CASSI) estimates the three-dimensional spatiospectral data cube from a snapshot two-dimensional coded projection, assuming that the scene is spatially and spectrally sparse. For less spectrally sparse scenes, we show that the use of multiple nondegenerate snapshots can make data cube recovery less ill-posed, yielding improved spatial and spectral reconstruction fidelity. Additionally, data acquisition can be easily scaled to meet the time/resolution requirements of the scene with little modification or extension of the original CASSI hardware. A multiframe reconstruction of a 640 × 480 × 53 voxel datacube with 450-650 nm white-light illumination of a scene reveals substantial improvement in the reconstruction fidelity, with limited increase in acquisition and reconstruction time.

Original languageEnglish (US)
Pages (from-to)6824-6833
Number of pages10
JournalApplied optics
Volume49
Issue number36
DOIs
StatePublished - Dec 20 2010
Externally publishedYes

ASJC Scopus subject areas

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

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