Compressive 4D spectro-volumetric imaging

Vladimir Farber, Yaniv Oiknine, Isaac August, Adrian Stern

Research output: Contribution to journalArticlepeer-review

19 Scopus citations


In this Letter, we present a method for hyperspectral imaging of three-dimensional objects. A compressive sensing approach is utilized to remedy the acquisition effort required to capture the large amount of data. The spectral dimension is compressively sensed by means of a liquid crystal-based encoder, and the volumetric data are captured using a synthetic aperture integral imaging setup. We demonstrate reconstruction of spectro-volumetric tesseracts with hundreds of spectral bands at different depths without compromise of spatial resolution.

Original languageEnglish
Pages (from-to)5174-5177
Number of pages4
JournalOptics Letters
Issue number22
StatePublished - 15 Nov 2016

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics


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