@inproceedings{dd26c9e720404f579e559454a88b16e5,
title = "Compressive digital holography for reconstruction of partially occluded objects",
abstract = "Several researches have demonstrated that partially occluded objects may be imaged with help of 3-D imaging systems. Here, we formulate the partially occluded object recovery problem as a compressive sensing problem, where the sensing mechanism is based on the Fresnel transform that can be acquired by various holographic recording techniques. We show that a high resolution object can be reconstructed from its single hologram and discuss the influence of the occluding environment's structure on the object's reconstruction fidelity.",
keywords = "compressive imaging, compressive sensing, computaional imaging, holography",
author = "Adrian Stern and Yair Rivenson and Joseph Rosen",
year = "2012",
month = dec,
day = "1",
doi = "https://doi.org/10.1109/WIO.2012.6488930",
language = "American English",
isbn = "9781467320009",
series = "2012 11th Euro-American Workshop on Information Optics, WIO 2012",
booktitle = "2012 11th Euro-American Workshop on Information Optics, WIO 2012",
note = "2012 11th Euro-American Workshop on Information Optics, WIO 2012 ; Conference date: 20-08-2012 Through 24-08-2012",
}