DeepGhost: real-time computational ghost imaging via deep learning

The potential of random pattern based computational ghost imaging (CGI) for real-time applications has been offset by its long image reconstruction time and inefficient reconstruction of complex diverse scenes. To overcome these problems, we propose a fast image reconstruction framework for CGI, cal...

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Vydané v:	Scientific reports Ročník 10; číslo 1; s. 11400 - 9
Hlavní autori:	Rizvi, Saad, Cao, Jie, Zhang, Kaiyu, Hao, Qun
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	London Nature Publishing Group UK 09.07.2020 Nature Publishing Group Nature Portfolio
Predmet:	639/624/1107 639/624/1107/510 Computer applications Deep learning Humanities and Social Sciences Image processing multidisciplinary Science Science (multidisciplinary)
ISSN:	2045-2322, 2045-2322
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