Turbulence-immune computational ghost imaging based on a multi-scale generative adversarial network
نویسندگان
چکیده
There is a consensus that turbulence-free images cannot be obtained by conventional computational ghost imaging (CGI) because the CGI only classic simulation, which does not satisfy conditions of imaging. In this article, we first report turbulence-immune method based on multi-scale generative adversarial network (MsGAN). Here, framework changed, but coincidence measurement algorithm optimized an MsGAN. Thus, satisfactory image can reconstructed training network, and visual effect significantly improved.
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ژورنال
عنوان ژورنال: Optics Express
سال: 2021
ISSN: ['1094-4087']
DOI: https://doi.org/10.1364/oe.447301