Computational photography and compressive holography

Daniel L. Marks, Joonku Hahn, Ryoichi Horisaki, David J. Brady

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

1 Scopus citations

Abstract

As lasers, photosensors, and computational imaging techniques improve, holography becomes an increasingly attractive approach for imaging applications largely re- served for photography. For the same illumination energy, we show that holography and photography have nearly identical noise performance. Because the coherent field is two dimensional outside of a source, there is ambiguity in inferring the three-dimensional structure of a source from the coherent field. Compressive holography overcomes this limitation by imposing sparsity constraints on the three- dimensional scatterer, which greatly reduces the number of possibilities allowing reliable inference of structure. We demonstrate the use of compressive holography to infer the three-dimensional structure of a scene comprising two toys

Original languageEnglish (US)
Title of host publication2010 IEEE International Conference on Computational Photography, ICCP 2010
DOIs
StatePublished - 2010
Externally publishedYes
Event2010 IEEE International Conference on Computational Photography, ICCP 2010 - Cambridge, MA, United States
Duration: Mar 29 2010Mar 30 2010

Publication series

Name2010 IEEE International Conference on Computational Photography, ICCP 2010

Conference

Conference2010 IEEE International Conference on Computational Photography, ICCP 2010
Country/TerritoryUnited States
CityCambridge, MA
Period3/29/103/30/10

ASJC Scopus subject areas

  • Astronomy and Astrophysics
  • Instrumentation
  • Atomic and Molecular Physics, and Optics

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