Improving the performance of ghost imaging via measurement-driven framework

Abstract High-quality reconstruction under a low sampling rate is very important for ghost imaging. How to obtain perfect imaging results from the low sampling rate has become a research hotspot in ghost imaging. In this paper, inspired by matrix optimization in compressed sensing, an optimization s...

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Autores principales: Hanqiu Kang, Yijun Wang, Ling Zhang, Duan Huang
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/e483c2557bc94691a4983e78d3a97ea3
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