@inproceedings{35605cf3c6df4426b30b88316b7cc913,
title = "Super-resolving optical systems based on compressive sensing",
abstract = "The theory of compressive sensing and sparse representations broke the traditional linkage between the resolution of the optical signals and the bandwidth of the acquisition process. As such, it opened the path to new optical super-resolving systems; that is, methods and systems that are able to capture optical signals with resolution beyond the classical limits. In this paper we overview some compressive sensing optical super-resolution systems that we have developed, including three compressive imaging system that produce super-resolution images, super-resolution tomography reconstruction, and super-resolution spectral sensing.",
keywords = "compressed sensing, compressive imaging, compressive sensing, computational imaging, computational spectroscopy",
author = "Adrian Stern and August Yitzhak and Vladimir Farber and Ran Yehuda",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 13th Workshop on Information Optics, WIO 2014 ; Conference date: 07-07-2014 Through 11-07-2014",
year = "2014",
month = oct,
day = "21",
doi = "10.1109/WIO.2014.6933291",
language = "English",
series = "2014 13th Workshop on Information Optics, WIO 2014",
publisher = "Institute of Electrical and Electronics Engineers",
booktitle = "2014 13th Workshop on Information Optics, WIO 2014",
address = "United States",
}