3D Image Sensing and Reconstruction with Time-Division Multiplexed Computational Integral Imaging (CII)

Adrian Stern, Bahrain Javidi

Research output: Contribution to journalConference articlepeer-review

2 Scopus citations

Abstract

We present a method to compute high-resolution three-dimensional (3-D) images based on integral imaging. In order to overcome optical limitation on the spatial resolution of reconstructed 3-D image, we suggest performing time-division multiplexing by which a sequence of II's is captured with a slightly different location of the lenslet array. The II image sequence obtained by the detector array is processed digitally with super- resolution reconstruction algorithms to obtain a reconstructed image, appropriate to a viewing direction, which has a spatial resolution beyond the optical limitation.

Original languageEnglish
Pages (from-to)131-139
Number of pages9
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume5243
DOIs
StatePublished - 1 Jan 2003
Externally publishedYes
EventThree-Dimenional TV, Video, and Display II - Orlando, FL, United States
Duration: 10 Sep 200311 Sep 2003

Keywords

  • 3-D image acquisition
  • 3-D image processing
  • Image reconstruction-restoration
  • Multiple imaging
  • Superresolution

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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