Computational ghost imaging in turbulent water based on self-supervised information extraction network

Chen, Yifan; Sun, Zhe; Li, Chen; Li, Xuelong

doi:10.1016/j.optlastec.2023.109735

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The Theory Of Cgi In Presence Of Turbulence1

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2023

2025

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Cited by 7 publications

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“…Where 𝐸 𝑟(𝑥𝑟) is shown the field after propagating from SLM. The recorded field of Bucket detector (𝐸 𝑡(𝑥𝑡) ) for generating the image is determine as [25]:…”

Section: The Theory Of Cgi In Presence Of Turbulencementioning

confidence: 99%

The study of computational ghost imaging in presence of atmospheric turbulence

Soleimani,

Kheradmand,

Kandjani

2024

Preprint

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The influence of atmospheric turbulence is investigated on computational ghost imaging (CGI). The results indicate that turbulence disrupts the resolution of computational ghost imaging, necessitating an alternative high-resolution imaging strategy. The Differential Computational ghost imaging (DCGI) are used to mitigate its impact. DCGI substantially enhances imaging resolution through engineered structured illumination. Furthermore, the DCGI scheme exhibits adaptability under atmospheric turbulence, facilitating real-time non-imaging edge detection in practical scenarios. The experimental and theoretical findings highlight the impact of atmospheric turbulence on imaging resolution and underscore DCGI's resilience to such effects where the computational ghost imaing unable to achieve a good quality of image. The DCGI is used in turbulent mediume and shows that the resolution of image in contrast to the CGI is very high.

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“…Where 𝐸 𝑟(𝑥𝑟) is shown the field after propagating from SLM. The recorded field of Bucket detector (𝐸 𝑡(𝑥𝑡) ) for generating the image is determine as [25]:…”

Section: The Theory Of Cgi In Presence Of Turbulencementioning

confidence: 99%