Positive and Negative Ghost Imaging

Liu, Hong‐Chao; Yang, Huan; Xiong, Jun; Zhang, Shuang

doi:10.1103/physrevapplied.12.034019

Cited by 20 publications

(7 citation statements)

References 52 publications

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“…In DGI algorithm, the bucket object signal function is defined as 27 where is the total intensity of the reference beam in the i th measurement. In NGI algorithm, the bucket object signal function is defined as 28 In analogy to the definitions of DGI and NGI, we recently proposed the LGI and EGI algorithms by defining the bucket object signal as logarithmic and exponential functions of , respectively 30 . Thus, the reconstruction algorithm of LGI is where A is the base of the logarithmic function.…”

Section: Methodsmentioning

confidence: 99%

“…In this work, we compare imaging reconstruction efficiency and error tolerance of six representative GI algorithms, together with logarithmic GI and exponential GI we proposed 30 . Numerical simulations show that compressive GI algorithm takes a great advantage in the imaging reconstruction process due to its global optimization property.…”

Section: Introductionmentioning

confidence: 99%

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Imaging reconstruction comparison of different ghost imaging algorithms

Liu

2020

Sci Rep

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As an indirect and computational imaging approach, imaging reconstruction efficiency is critical for ghost imaging (GI). Here, we compare different GI algorithms, including logarithmic GI and exponential GI we proposed, by numerically analysing their imaging reconstruction efficiency and error tolerance. Simulation results show that compressive GI algorithm has the highest reconstruction efficiency due to its global optimization property. Error tolerance studies further manifest that compressive GI and exponential GI are sensitive to the error ratio. By replacing the bucket input of compressive GI with different bucket object signal functions, we integrate compressive GI with other GI algorithms and discuss their imaging efficiency. With the combination between the differential GI (or normalized GI) and compressive GI, both reconstruction efficiency and error tolerance will present the best performance. Moreover, an optical encryption is proposed by combining logarithmic GI, exponential GI and compressive GI, which can enhance the encryption security based on GI principle.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Imaging reconstruction comparison of different ghost imaging algorithms

Liu

2020

Sci Rep

Self Cite

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“…We use the Fourier matrix to generate sinusoidal and cosine structural illumination patterns, both of which can reconstruct images in the imaging course with symmetrical overlapping shadows due to missing phase information. A clear image is finally reconstructed by applying the intensity correlation to the negative and positive images for phase compensation [13,14,33,34],…”

Section: Experiments and Methodsmentioning

confidence: 99%

“…Researchers have shown that an image can be captured with just one pixel based on spatially structured illumination and multiple measurements in the time domain. This technique is called computational single-pixel imaging (SPI), also known as ghost imaging (GI) [1][2][3][4][5][6][7][8][9][10][11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Sinusoidal Single-Pixel Imaging Based on Fourier Positive–Negative Intensity Correlation

Meng

Jia

Shen

et al. 2020

Sensors

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Single-pixel imaging techniques extend the time dimension to reconstruct a target scene in the spatial domain based on single-pixel detectors. Structured light illumination modulates the target scene by utilizing multi-pattern projection, and the reflected or transmitted light is measured by a single-pixel detector as total intensity. To reduce the imaging time and capture high-quality images with a single-pixel imaging technique, orthogonal patterns have been used instead of random patterns in recent years. The most representative among them are Hadamard patterns and Fourier sinusoidal patterns. Here, we present an alternative Fourier single-pixel imaging technique that can reconstruct high-quality images with an intensity correlation algorithm using acquired Fourier positive–negative images. We use the Fourier matrix to generate sinusoidal and phase-shifting sinusoid-modulated structural illumination patterns, which correspond to Fourier negative imaging and positive imaging, respectively. The proposed technique can obtain two centrosymmetric images in the intermediate imaging course. A high-quality image is reconstructed by applying intensity correlation to the negative and positive images for phase compensation. We performed simulations and experiments, which obtained high-quality images, demonstrating the feasibility of the methods. The proposed technique has the potential to image under sub-sampling conditions.

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“…Since the first demonstrations of correlated imaging and interference with entangled sources 1,2 , correlation has been a hot topic in the area of quantum imaging. To achieve a high qualified image, a lot of schemes were explored [3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19] . Besides imaging, interference was widely discussed with correlation method [20][21][22][23][24][25] .…”

mentioning

confidence: 99%

Observation of positive–negative sub-wavelength interference without intensity correlation calculation

Dou

Cao

et al. 2021

Sci Rep

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We report an experimental demonstration of positive–negative sub-wavelength interference without correlation. Typically, people can achieve sub-wavelength effects with correlation measurement no matter by using bi-photon or thermal light sources. In this paper, we adopt a thermal light source, and we count the realizations in which the intensities of the definite symmetric points are above or below a certain threshold. The distribution of numbers of these realizations which meet the restriction will show a sub-wavelength effect. With proper constrictions, positive and negative interference patterns are demonstrated.

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Positive and Negative Ghost Imaging

Cited by 20 publications

References 52 publications

Imaging reconstruction comparison of different ghost imaging algorithms

Imaging reconstruction comparison of different ghost imaging algorithms

Sinusoidal Single-Pixel Imaging Based on Fourier Positive–Negative Intensity Correlation

Observation of positive–negative sub-wavelength interference without intensity correlation calculation

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