Imaging around corners with single-pixel detector by computational ghost imaging

Bai, Baojun; He, Yuchen; Liu, Jianbin; Zheng, Huaibin; Zhang, Songlin; Wang, Chao

doi:10.1016/j.ijleo.2017.08.057

Cited by 10 publications

(3 citation statements)

References 39 publications

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“…The difference between the average intensities of the bright and dark regions of the images is regarded as the signal, and the variation of dark background is considered as the noise. [22,30] The lower bound of the error rate is calculated to be 14.51% according to Eq. ( 10), and a secure key rate of 571.0 bps is achieved during the imaging period.…”

Section: Experiments and Resultsmentioning

confidence: 99%

Proof-of-principle experimental demonstration of quantum secure imaging based on quantum key distribution

et al. 2019

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We present a quantum secure imaging (QSI) scheme based on the phase encoding and weak+vacuum decoy-state BB84 protocol of quantum key distribution (QKD). It allows us to implement a computational ghost imaging (CGI) system with more simplified equipment and reconstructed algorithm by using a digital micro-mirror device (DMD) to preset the specific spatial distribution of the light intensity. What is more, the quantum bit error rate (QBER) and the secure key rate analytical functions of QKD are used to see through the intercept-resend jamming attacks and ensure the authenticity of the imaging information. In the experiment, we obtained the image of the object quickly and efficiently by measuring the signal photon counts with a single-photon detector (SPD), and achieved a secure key rate of 571.0 bps and a secure QBER of 3.99%, which is well below the lower bound of QBER of 14.51%. Besides, our imaging system uses a laser with invisible wavelength of 1550 nm, whose intensity is as low as single-photon, that can realize weak-light imaging and is immune to the stray light or air turbulence, thus it will become a better choice for quantum security radar against intercept-resend jamming attacks.

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Section: Experiments and Resultsmentioning

confidence: 99%

Proof-of-principle experimental demonstration of quantum secure imaging based on quantum key distribution

et al. 2019

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“…Since the bucket detector is simply used for collecting all the light from the object, the test arm is resistant to turbulence or strong light scattering. Most works focused on investigating GI with a turbid medium placed between an object and a bucket detector [1,[14][15][16]. GI requires the light patterns illuminating the object be well determined.…”

Section: Introductionmentioning

confidence: 99%

Unsighted ghost imaging for objects completely hidden inside turbid media

Yuan

Chen

2022

New J. Phys.

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Ghost imaging (GI) is an unconventional imaging method that retrieves the image of an object by correlating a series of known illumination patterns with the total reflected (or transmitted) intensity. However, the patterns on the object are required to be known, which highly limits its application scenarios, especially in a strong scattering environment. We here propose a scheme that removes this basic requirement, and enables GI to non-invasively image objects through turbid media. As experimental proof, we project a set of patterns towards an object hidden inside turbid media that make the patterns falling on the object completely unknown. The spatial information of both the object and the illumination is lost. We prove that, when the source is within a memory-effect angular range of the turbid medium, the spatial frequency of the object is preserved in the correlation of GI, which can be used for image reconstruction. This scheme also circumvents the major challenge in non-invasive imaging through turbid media: the object must be small enough to fit in a field-of-view which is usually extremely small in realistic scenarios. Our method removes this limitation and is an important step towards realistic applications.

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“…Various inverse retrieval or processing techniques including artificial neural networks (ANNs) can then retrieve the final image. GI protocols have also been implemented for forms of NLOS imaging that rely on the fact the GI only requires collecting an intensity value that is retro-reflected from the hidden scene image, as long as one knows the exact shape of the illumination patterns [24,[33][34][35][36][37][38].…”

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confidence: 99%