@inproceedings{Leonidas2015a,
abstract = {In this paper, we consider the problem of on-chip temporal compressive sensing for video reconstruction at high frame-rates without the need of any additional optical components. We devise an optimization scheme in order to achieve adequate spatio-temporal sampling of subsequent frames under maximal capturing speed, based on the bandwidth constraints of a sensor. We test this optimization strategy on a commercially available camera and propose a set of reconstruction steps that can achieve reasonable performance but, at the same time, accommodate high-resolution video reconstruction under realistic time requirements. Our analysis constitutes a set of first steps bringing high-speed compressive video capture within the realm of commercial availability.},
author = {Spinoulas, Leonidas and Cossairt, Oliver and Katsaggelos, Aggelos K.},
booktitle = {2015 IEEE International Conference on Image Processing (ICIP)},
doi = {10.1109/ICIP.2015.7351420},
isbn = {978-1-4799-8339-1},
issn = {15224880},
keywords = {CMOS sensor,Sampling optimization,compressive sensing,high-speed video},
month = {sep},
pages = {3329--3333},
publisher = {IEEE},
title = {{Sampling optimization for on-chip compressive video}},
url = {http://ieeexplore.ieee.org/document/7351420/},
volume = {2015-Decem},
year = {2015}
}

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