Time-correspondence differential ghost imaging

Li, Mingfei; Zhang, Yu-Ran; Luo, Kui; Wu, Ling‐An; Fan, Heng

doi:10.1103/physreva.87.033813

Cited by 83 publications

(36 citation statements)

References 21 publications

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“…To implement the differential CI (DCI), 14,23,25 the intensity S T at the object arm needs to be processed, which is written as where · signifies the ensemble average, and D R represents the integrated reference detector intensity, which is given by D R = ∫ S R (x, y)dxdy. Then, the positive and negative (PN) subsets are built according to the differential bucket intensity fluctuation ∆S dif = S B S B , which are expressed as…”

Section: Methodsmentioning

confidence: 99%

“…Later, Li et al presented two improved CI methods based on the DGI and NGI, respectively. 25,26 These two methods can further reduce the computation time and improve the imaging quality by selecting appropriate threshold values. However, the selection of threshold values is a challenge work.…”

Section: Introductionmentioning

confidence: 99%

“…Although Li et al introduced a preselect method, it needed additional measurements to obtain the threshold values. 26 Unlike the previous CI schemes, [23][24][25][26] Yao et al proposed a CI method based on correlation coefficients. 27 In their method, the correlation coefficients are utilized to separate the reference detector speckle patterns into positive and negative parts.…”

Section: Introductionmentioning

confidence: 99%

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Adaptive differential correspondence imaging based on sorting technique

Zhang

Shan

et al. 2017

AIP Advances

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We develop an adaptive differential correspondence imaging (CI) method using a sorting technique. Different from the conventional CI schemes, the bucket detector signals (BDS) are first processed by a differential technique, and then sorted in a descending (or ascending) order. Subsequently, according to the front and last several frames of the sorted BDS, the positive and negative subsets (PNS) are created by selecting the relative frames from the reference detector signals. Finally, the object image is recovered from the PNS. Besides, an adaptive method based on two-step iteration is designed to select the optimum number of frames. To verify the proposed method, a single-detector computational ghost imaging (GI) setup is constructed. We experimentally and numerically compare the performance of the proposed method with different GI algorithms. The results show that our method can improve the reconstruction quality and reduce the computation cost by using fewer measurement data.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Adaptive differential correspondence imaging based on sorting technique

Zhang

Shan

et al. 2017

AIP Advances

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“…It seemed to defy intuition in that no direct second-order correlation calculation is performed, while compared with conventional GI the number of exposures used to reconstruct the images and consequently the computation time are greatly reduced. Further developments of this positive-negative image concept have been presented in many other papers [30][31][32][33][34]. By alternately measuring the bucket values of a random binary pattern and its inverse, Sun et al [33,34] reconstructed a ghost image by correlating non-inverted patterns with the differential signals of the complementary illuminated pairs, and normalized the bucket signal with respect to the positive or negative intensity fluctuations averaged to 0.…”

Section: Introductionmentioning

confidence: 99%

Compressive microscopic imaging with “positive–negative” light modulation

Yao

Liu

et al. 2016

Optics Communications

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An experiment demonstrating single-pixel single-arm complementary compressive microscopic ghost imaging based on a digital micromirror device (DMD) has been performed. To solve the difficulty of projecting speckles or modulated light patterns onto tiny biological objects, we instead focus the microscopic image onto the DMD. With this system, we have successfully obtained a magnified image of micron-sized objects illuminated by the microscope's own incandescent lamp. The image quality of our scheme is more than an order of magnitude better than that obtained by conventional compressed sensing with the same total sampling rate, and moreover, the system is robust against intensity instabilities of the light source and may be used under very weak light conditions. Since only one reflection direction of the DMD is used, the other reflection arm is left open for future infrared light sampling. This represents a big step forward toward the practical application of compressive microscopic ghost imaging in the biological and material science fields. * gjzhai@nssc.ac.cn

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“…Other interesting Ghost imaging research includes experiments on entangled photon ghost imaging through laboratory turbulence [3], signal-to-noise studies and illumination variations [4,5], studies on contrast and visibility [6,7], virtual or computational ghost imaging [8][9][10], along with associated fundamental experimental [11] and theoretical physics [12][13][14]. Extending the remote ghost imaging practical application to a turbulent environment, Turbulence-free Ghost Imaging (Meyers et al [15,16]) was recently proven, wherein turbulence has virtually no adverse effect on ghost imaging as shown in Figure 1.…”

Section: Introductionmentioning

confidence: 99%

Space-Time Quantum Imaging

Meyers

Deacon

2015

Entropy

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Abstract:We report on an experimental and theoretical investigation of quantum imaging where the images are stored in both space and time. Ghost images of remote objects are produced with either one or two beams of chaotic laser light generated by a rotating ground glass and two sensors measuring the reference field and bucket field at different space-time points. We further observe that the ghost images translate depending on the time delay between the sensor measurements. The ghost imaging experiments are performed both with and without turbulence. A discussion of the physics of the space-time imaging is presented in terms of quantum nonlocal two-photon analysis to support the experimental results. The theoretical model includes certain phase factors of the rotating ground glass. These experiments demonstrated a means to investigate the time and space aspects of ghost imaging and showed that ghost imaging contains more information per measured photon than was previously recognized where multiple ghost images are stored within the same ghost imaging data sets. This suggests new pathways to explore quantum information stored not only in multi-photon coincidence information but also in time delayed multi-photon interference. The research is applicable to making enhanced space-time quantum images and videos of moving objects where the images are stored in both space and time.

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Time-correspondence differential ghost imaging

Cited by 83 publications

References 21 publications

Adaptive differential correspondence imaging based on sorting technique

Adaptive differential correspondence imaging based on sorting technique

Compressive microscopic imaging with “positive–negative” light modulation

Space-Time Quantum Imaging

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