@inproceedings{370db51999ae48b295e027019d150531,
title = "Compressive sensing for improved depth discrimination in 3D holographic reconstruction",
abstract = "Compressive holography has attracted significant interest since its introduction three about years ago. In this paper, we present an overview of our work on the ability to reconstruct a 3D volume from its 2D recorded compressive hologram. Using the single-exposure on-line (SEOL) setup, we show how CS applied to this naturally underdetermined problem enables the improved sectioning (or depth discrimination) of the reconstructed volume, when compared with standard in-line holography. We also present the mathematical guarantees for the reconstruction of the 3D volume features from its single 2D hologram and their physical implications for sectioning of 3D volume.",
keywords = "Compressed sensing, Compressive imaging, Compressive sensing, Computational imaging, Digital holography, Inverse problems",
author = "Yair Rivenson and Adrian Stern and Bahram Javidi",
year = "2013",
month = aug,
day = "12",
doi = "10.1117/12.2018497",
language = "English",
isbn = "9780819495297",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
booktitle = "Three-Dimensional Imaging, Visualization, and Display 2013",
note = "Three-Dimensional Imaging, Visualization, and Display 2013 ; Conference date: 29-04-2013 Through 30-04-2013",
}