Quantum-inspired computational imaging
Files
Accepted manuscript
Date
2018-08-17
Authors
Altmann, Yoann
McLaughlin, Stephen
Padgett, Miles J.
Goyal, Vivek K.
Hero, Alfred O.
Faccio, Daniele
Version
Accepted manuscript
OA Version
Citation
Yoann Altmann, Stephen McLaughlin, Miles J Padgett, Vivek K Goyal, Alfred O Hero, Daniele Faccio. 2018. "Quantum-inspired computational imaging." Science, Volume 361, Issue 6403, pp. 660 - + (8). https://doi.org/10.1126/science.aat2298
Abstract
Computational imaging combines measurement and computational methods with the aim of forming images even when the measurement conditions are weak, few in number, or highly indirect. The recent surge in quantum-inspired imaging sensors, together with a new wave of algorithms allowing on-chip, scalable and robust data processing, has induced an increase of activity with notable results in the domain of low-light flux imaging and sensing. We provide an overview of the major challenges encountered in low-illumination (e.g., ultrafast) imaging and how these problems have recently been addressed for imaging applications in extreme conditions. These methods provide examples of the future imaging solutions to be developed, for which the best results are expected to arise from an efficient codesign of the sensors and data analysis tools.