Multidimensional imaging using compressive Fresnel holography

Ryoichi Horisaki, Jun Tanida, Adrian Stern, Bahram Javidi

Research output: Contribution to journalArticlepeer-review

36 Scopus citations

Abstract

We propose a generalized framework for single-shot acquisition of multidimensional objects using compressive Fresnel holography. A multidimensional object with spatial, spectral, and polarimetric information is propagated with the Fresnel diffraction, and the propagated signal of each channel is observed by an image sensor with randomly arranged optical elements for filtering. The object data are reconstructed using a compressive sensing algorithm. This scheme is verified with numerical experiments. The proposed framework can be applied to imageries for spectrum, polarization, and so on.

Original languageEnglish
Pages (from-to)2013-2015
Number of pages3
JournalOptics Letters
Volume37
Issue number11
DOIs
StatePublished - 1 Jun 2012

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