DeepGhost: real-time computational ghost imaging via deep learning

Abstract 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...

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Autores principales: Saad Rizvi, Jie Cao, Kaiyu Zhang, Qun Hao
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2020
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Acceso en línea:https://doaj.org/article/0263495455744848bd5b08f1bf5b51bb
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