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Optics Express

Optics Express

  • Editor: Andrew M. Weiner
  • Vol. 21, Iss. 4 — Feb. 25, 2013
  • pp: 4263–4279

Feasibility study for compressive multi-dimensional integral imaging

Ryoichi Horisaki, Xiao Xiao, Jun Tanida, and Bahram Javidi  »View Author Affiliations

Optics Express, Vol. 21, Issue 4, pp. 4263-4279 (2013)

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This paper describes a generalized framework for single-exposure acquisition of multi-dimensional scene information using integral imaging system based on compressive sensing. In the proposed system, a multi-dimensional scene containing a plurality of information such as 3D coordinates, spectral and polarimetric data is captured by integral imaging optics. The image sensor uses pixel-wise filtering elements arranged randomly. The multi-dimensional original object is reconstructed using an algorithm with a sparsity constraint. The proposed system is demonstrated with simulations and feasible optical experiments based on synthetic aperture integral imaging using multi-dimensional objects including 3D coordinates, spectral, and polarimetric information.

© 2013 OSA

OCIS Codes
(110.1758) Imaging systems : Computational imaging
(110.3010) Imaging systems : Image reconstruction techniques

ToC Category:
Imaging Systems

Original Manuscript: November 16, 2012
Revised Manuscript: January 25, 2013
Manuscript Accepted: January 29, 2013
Published: February 12, 2013

Ryoichi Horisaki, Xiao Xiao, Jun Tanida, and Bahram Javidi, "Feasibility study for compressive multi-dimensional integral imaging," Opt. Express 21, 4263-4279 (2013)

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