TY - GEN
T1 - Sparsity based super-resolution in optical measurements
AU - Shechtman, Yoav
AU - Szameit, Alexander
AU - Osherovich, Eliyahu
AU - Sidorenko, Pavel
AU - Cohen, Oren
AU - Eldar, Yonina C.
AU - Segev, Mordechai
N1 - This work is supported by the National Focal Technology Area on Nanophotonics for Detection and Sensing, and by an Advanced Grant from the European Research Council.
PY - 2013
Y1 - 2013
N2 - We propose and experimentally demonstrate a method of exploiting prior knowledge of a signal's sparsity to perform super-resolution in various optical measurements, including: single-shot sub-wavelength Coherent Diffractive Imaging (CDI), i.e. algorithmic object reconstruction from Fourier amplitude measurements, and ultra-fast pulse measurement, i.e. exceeding the temporal resolution imposed by the rise time of the photodiode. The prior knowledge of the signal's sparsity compensates for the loss of phase information and the loss of high spatial frequencies in the case of CDI, and for the loss of temporal frequencies accompanying the photodiode measurement process.
AB - We propose and experimentally demonstrate a method of exploiting prior knowledge of a signal's sparsity to perform super-resolution in various optical measurements, including: single-shot sub-wavelength Coherent Diffractive Imaging (CDI), i.e. algorithmic object reconstruction from Fourier amplitude measurements, and ultra-fast pulse measurement, i.e. exceeding the temporal resolution imposed by the rise time of the photodiode. The prior knowledge of the signal's sparsity compensates for the loss of phase information and the loss of high spatial frequencies in the case of CDI, and for the loss of temporal frequencies accompanying the photodiode measurement process.
UR - http://www.scopus.com/inward/record.url?scp=84894157831&partnerID=8YFLogxK
U2 - https://doi.org/10.1109/CAMSAP.2013.6714043
DO - https://doi.org/10.1109/CAMSAP.2013.6714043
M3 - منشور من مؤتمر
SN - 9781467331463
SN - 978-1-4673-3144-9
T3 - 2013 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2013
SP - 204
EP - 207
BT - 2013 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2013
T2 - 2013 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2013
Y2 - 15 December 2013 through 18 December 2013
ER -