Efficient reconstruction of 3D images from photon starved integral imaging using PMLEM

Doron Aloni, Adrian Stern, Bahram Javidi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Reconstruction of three dimensional (3D) images from photon counting integral images was recently demonstrated by applying several methods including: maximum likelihood estimation, Bayesian estimation, and statistical estimation involving truncated Poisson statistics. Here we present simulation results for a new estimation approach implementing Penalized Maximum Likelihood Expectation Maximization (PMLEM) that better incorporates prior information in the reconstruction process.

Original languageEnglish
Title of host publicationThree-Dimensional Imaging, Visualization, and Display 2011
PublisherSPIE
ISBN (Print)9780819486172
DOIs
StatePublished - 1 Jan 2011
EventThree-Dimensional Imaging, Visualization, and Display 2011 - Orlando, FL, United States
Duration: 27 Apr 201128 Apr 2011

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume8043
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceThree-Dimensional Imaging, Visualization, and Display 2011
Country/TerritoryUnited States
CityOrlando, FL
Period27/04/1128/04/11

Keywords

  • 3D image reconstruction
  • Backward-projection
  • Forward-projection
  • Integral-imaging
  • MLEM estimation
  • Poisson distribution

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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