Self-Modulated Ghost Imaging in Dynamic Scattering Media [PDF]
Sensors, 2023 In this paper, self-modulated ghost imaging (SMGI) in a surrounded scattering medium is proposed. Different from traditional ghost imaging, SMGI can take advantage of the dynamic scattering medium that originally affects the imaging quality and generate ...
Ying Yu +5 more
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Gradient-Descent-like Ghost Imaging [PDF]
Sensors, 2021 Ghost imaging is an indirect optical imaging technique, which retrieves object information by calculating the intensity correlation between reference and bucket signals.
Wen-Kai Yu +4 more
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Deblurring Ghost Imaging Reconstruction Based on Underwater Dataset Generated by Few-Shot Learning [PDF]
Sensors, 2022 Underwater ghost imaging based on deep learning can effectively reduce the influence of forward scattering and back scattering of water. With the help of data-driven methods, high-quality results can be reconstructed.
Xu Yang +8 more
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Advances in Ghost Imaging of Moving Targets: A Review [PDF]
Biomimetics, 2023 Ghost imaging is a novel imaging technique that utilizes the intensity correlation property of an optical field to retrieve information of the scene being measured. Due to the advantages of simple structure, high detection efficiency, etc., ghost imaging
Moudan Shi +4 more
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Super-resolved quantum ghost imaging [PDF]
Scientific Reports, 2022 Quantum ghost imaging offers many advantages over classical imaging, including low photon fluxes and non-degenerate object and image wavelengths for imaging light sensitive structures, but suffers from slow image reconstruction speeds.
Chané Moodley, Andrew Forbes
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A ghost imaging framework based on laser mode speckle pattern for underwater environments [PDF]
Communications EngineeringDue to the complex physical processes found in underwater environments, such as absorption, scattering, and noise, it is challenging to obtain high-quality images using conventional camera-based imaging techniques.
Mo-Chou Yang +3 more
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A W-Shaped Self-Supervised Computational Ghost Imaging Restoration Method for Occluded Targets [PDF]
SensorsWe developed a novel method based on self-supervised learning to improve the ghost imaging of occluded objects. In particular, we introduced a W-shaped neural network to preprocess the input image and enhance the overall quality and efficiency of the ...
Yu Wang +6 more
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Hyperspectral dual-comb compressive ghost imaging with deep learning reconstruction [PDF]
Light: Science & ApplicationsGhost imaging reframes image formation by replacing pixelated sensors with correlation measurements between structured illumination and a single-pixel detector, enabling capabilities that are difficult or impossible for conventional cameras.
Myoung-Gyun Suh +10 more
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Deep learning early stopping for non-degenerate ghost imaging [PDF]
Scientific Reports, 2021 Quantum ghost imaging offers many advantages over classical imaging, including the ability to probe an object with one wavelength and record the image with another (non-degenerate ghost imaging), but suffers from slow image reconstruction due to sparsity
Chané Moodley +3 more
doaj +2 more sources
Anti-noise variational sparse Bayesian estimation ghost imaging based on 3Level factor graph [PDF]
Scientific ReportsIn response to existing compressed sensing ghost imaging (CSGI) schemes, an innovative Bayesian compressed sensing ghost imaging with better anti-noise performance is proposed, by using the sparse representation of K-Singular Value Decomposition (KSVD ...
Siqing Xiang +9 more
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