Open AccessThree-dimensional photon counting integral imaging reconstruction using penalized maximum likelihood expectation maximization
Author(s) -
Doron Aloni,
Adrian Stern,
Bahram Javidi
Publication year - 2011
Publication title -
optics express
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.19.019681
Subject(s) - integral imaging , iterative reconstruction , photon counting , regularization (linguistics) , optics , photon , estimator , expectation–maximization algorithm , computer science , iterative method , algorithm , artificial intelligence , computer vision , physics , mathematics , maximum likelihood , image (mathematics) , statistics
Recent works have demonstrated that three-dimensional (3D) object reconstruction is possible from integral images captured in severely photon starved conditions. In this paper we propose an iterative approach to implement a maximum likelihood expectation maximization estimator with several types of regularization for 3D reconstruction from photon counting integral images. We show that the proposed algorithms outperform the previously reported approaches for photon counting 3D integral imaging reconstruction. To the best of our knowledge, this is the first report on using iterative statistical reconstruction techniques for 3D photon counting integral imaging.