Positive influence of the scattering medium on reflective ghost imaging

Fu, Qin; Bai, Yanfeng; Huang, Xianwei; Nan, Suqin; Xie, Peiyi; Fu, Xiquan

doi:10.1364/prj.7.001468

Cited by 28 publications

(13 citation statements)

References 27 publications

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“…Ghost imaging (GI) is an imaging technique that generates the image of an object by calculating the second-order correlation function between two light beams [1][2][3][4][5][6]. Ghost imaging has been widely researched in recent years [7][8][9][10][11][12][13][14][15][16]; it has important applications in many fields such as cryptography [17,18], lidar [19,20], medical imaging [21,22], micro object imaging [23,24], three-dimensional imaging [25][26][27][28] and single-pixel imaging [29][30][31][32][33]. In many practical scenes, GI is subject to interference from the transmission medium and from optical background noise.…”

Section: Introductionmentioning

confidence: 99%

Instant ghost imaging: improving robustness for ghost imaging subject to optical background noise

Yang

Zhang

et al. 2020

OSA Continuum

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Ghost imaging (GI) is an imaging technique that uses the second-order correlation between two light beams to obtain the image of an object. However, standard GI is affected by optical background noise, which reduces its practical use. We investigated the robustness of an instant ghost imaging (IGI) algorithm against optical background noise and compare it with the conventional GI algorithm. Our results show that IGI is extremely resistant to spatiotemporally varying optical background noise that can change over a large range. When the noise is large in relation to the signal, IGI will still perform well in conditions that prevent the conventional GI algorithm from generating an image because IGI uses signal differences for imaging. Signal differences are intrinsically resistant to common noise modes, so the IGI algorithm is strongly robust against noise. This research is of great significance for the practical application of GI.

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Section: Introductionmentioning

confidence: 99%

Instant ghost imaging: improving robustness for ghost imaging subject to optical background noise

Yang

Zhang

et al. 2020

OSA Continuum

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“…Previous works show that the scattering media has little effect on ghost imaging when the scattering media is located in the position between the object and the bucket detector. [5][6][7][8] However, no matter whether liquid or solid scattering media are employed, when the media are evenly distributed in the optical path, they will have serious impacts on ghost imaging. [9][10][11][12] Recall that the conventional McCartney model regards scattering media including fog as a medium with space-time invariance.…”

Section: Introductionmentioning

confidence: 99%

Defogging computational ghost imaging via eliminating photon number fluctuation and a cycle generative adversarial network

Duan

2023

Chinese Phys. B

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Imaging through fluctuating scattering media such as fog is a challenge since it seriously degrades the image quality. Here, we investigated how the image quality of computational ghost imaging is reduced by fluctuating fog and how to obtain a high-quality defogging ghost image. We show theoretically and experimentally, that the photon number fluctuations introduced by fluctuating fog is the reason for ghost image degradation. An algorithm is proposed to process the signals collected by the computational ghost imaging device to eliminate photon number fluctuations of different measurement events. Thus, a high-quality defogging ghost image is reconstructed even though fog is evenly distributed on the optical path. A nearly 100% defogging ghost image is obtained by further using a cycle generative adversarial network to process the reconstructed defogging image.

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“…Cheng and Han studied a particular aspect of coincidence imaging with incoherent source by using classical statistical optics [7]. After that, theoretical and experimental CI schemes exploiting the correlation of two classical beams obtained by splitting incoherent thermal source were proposed [9][10][11][12][13][14][15][16][17]. Furthermore, many relevant results including high-order [18,19], computational [20,21], differential [22], and compressive sensing [23,24] were also reported.…”

Section: Introductionmentioning

confidence: 99%

Research on Multipath Correlated Imaging with the Grayscale Target in Endoscopic Applications

et al. 2021

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The application of correlated imaging in endoscope, one of the research hotspots, may lead to multipath effect in the closed endoscopic environment. The model of multipath correlated imaging with a grayscale object is given, where the mismatch ratio and the reflection ratio are two key factors affecting imaging quality. The theoretical and experimental results show that multipath effect has an influence on the grayscale distribution and imaging quality of the reconstructed image, and the effect of the mismatch ratio is stronger than that of the reflection ratio. The conditions that the disturbance from multipath effect can be ignored in endoscopic applications are given.

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Positive influence of the scattering medium on reflective ghost imaging

Cited by 28 publications

References 27 publications

Instant ghost imaging: improving robustness for ghost imaging subject to optical background noise

Instant ghost imaging: improving robustness for ghost imaging subject to optical background noise

Defogging computational ghost imaging via eliminating photon number fluctuation and a cycle generative adversarial network

Research on Multipath Correlated Imaging with the Grayscale Target in Endoscopic Applications

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