@inproceedings{Oliver2016,
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.},
author = {Cossairt, Oliver and He, Kuan and Shang, Ruibo and Matsuda, Nathan and Sharma, Manoj and Huang, Xiang and Katsaggelos, Aggelos and Spinoulas, Leonidas and Yoo, Seunghwan},
booktitle = {2016 IEEE International Conference on Image Processing (ICIP)},
doi = {10.1109/ICIP.2016.7532499},
isbn = {978-1-4673-9961-6},
issn = {15224880},
keywords = {Compressive sensing,Incoherent holography,Inverse problems,Microscopy},
month = {sep},
pages = {958--962},
publisher = {IEEE},
title = {{Compressive reconstruction for 3D incoherent holographic microscopy}},
url = {http://ieeexplore.ieee.org/document/7532499/},
volume = {2016-Augus},
year = {2016}
}

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