@inproceedings{a1d02ae06ec44153aad45a998e803d72,
title = "Compressive reconstruction for 3D incoherent holographic microscopy",
abstract = "Incoherent holography has recently attracted significant research interest due to its flexibility for a wide variety of light sources. In this paper, we use compressive sensing to reconstruct a three-dimensional volumetric object from its two-dimensional Fresnel incoherent correlation hologram. We show how compressed sensing enables reconstruction without out-of-focus artifacts, when compared to conventional back-propagation recovery. Finally, we analyze the reconstruction guarantees of the proposed approach both numerically and theoretically and compare that with coherent holography.",
keywords = "Compressive sensing, Incoherent holography, Inverse problems, Microscopy",
author = "Cossairt, {Oliver Strides} and Kuan He and Ruibo Shang and Nathan Matsuda and Manoj Sharma and Xiang Huang and Katsaggelos, {Aggelos K} and Leonidas Spinoulas and Seunghwan Yoo",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 23rd IEEE International Conference on Image Processing, ICIP 2016 ; Conference date: 25-09-2016 Through 28-09-2016",
year = "2016",
month = aug,
day = "3",
doi = "10.1109/ICIP.2016.7532499",
language = "English (US)",
series = "Proceedings - International Conference on Image Processing, ICIP",
publisher = "IEEE Computer Society",
pages = "958--962",
booktitle = "2016 IEEE International Conference on Image Processing, ICIP 2016 - Proceedings",
address = "United States",
}