title: Three-dimensional photon counting integral imaging reconstruction using penalized maximum likelihood expectation maximization.
abstract: 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.
authors: Electro Optical Unit, Ben Gurion University of the Negev, Beer-Sheva 84105, Israel.
authors: Doron
authors: D
authors: Aloni
authors: Adrian
authors: A
authors: Stern
authors: Bahram
authors: B
authors: Javidi
mesh_terms: D000465:Algorithms; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods*; D008027:Light; D016013:Likelihood Functions; D019047:Phantoms, Imaging; D017785:Photons; D011874:Radiometry / Q000379:methods*