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Continuously streaming compressed high-speed photography using time delay integration
Author(s) -
Jong Chan Park,
Liang Gao
Publication year - 2021
Publication title -
optica
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.074
H-Index - 107
ISSN - 2334-2536
DOI - 10.1364/optica.437736
Subject(s) - computer science , bandwidth (computing) , photography , high speed photography , compressed sensing , real time computing , high resolution , temporal resolution , transfer (computing) , computer graphics (images) , computer vision , computer hardware , artificial intelligence , telecommunications , remote sensing , optics , geography , physics , art , parallel computing , visual arts
An imaging system capable of acquiring high-resolution data at a high speed is in demand. However, the amount of optical information captured by a modern camera is limited by the data transfer bandwidth of electronics, resulting in a reduced spatial and temporal resolution. To overcome this problem, we developed continuously streaming compressed high-speed photography, which can record a dynamic scene with an unprecedented space-bandwidth-time product. By performing compressed imaging in a time-delay-integration manner, we continuously recorded a 0.85 megapixel video at 200 kHz, corresponding to an information flux of 170 gigapixels per second.

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