@inproceedings{15232b688a614c2da61eee21d97fdac6,
title = "Optical compressive sensing: A new field benefiting from classical optical signal processing techniques",
abstract = "Compressive sensing is a relatively new theory that has introduced a dramatic breakthrough in signal acquisition. In the context of imaging, it asserts that for common types of objects and with proper system design, it is possible to capture N2-pixel images with much fewer than N 2 measurements. This implies that it is possible to capture signals with a larger space-bandwidth product than that of the system. Implementation of compressive imaging (CI) systems requires optical design that differs drastically from that for conventional imaging. Fortunately, CI design may benefit from concepts previously developed by Prof. Caulfield and others for optical signal processing.",
keywords = "Compressed Sensing, Compressive Sensing, Compressive imaging, Optical Signal Processing",
author = "Adrian Stern",
year = "2013",
month = nov,
day = "28",
doi = "10.1117/12.2024422",
language = "American English",
isbn = "9780819496836",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
booktitle = "Tribute to H. John Caulfield",
note = "Tribute to H. John Caulfield ; Conference date: 28-08-2013 Through 28-08-2013",
}