Ghost Imaging with a Partially Coherent Beam Carrying Twist Phase in a Turbulent Ocean: A Numerical Approach

Liu, Yonglei; Liu, Xianlong; Liu, Lin; Wang, Fei; Zhang, Yuping; Cai, Yangjian

doi:10.3390/app9153023

Cited by 12 publications

(6 citation statements)

References 48 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Various types of light source are also studied. Liu 37 proved the robustness of GI with partially coherent light to liquid turbulence. The partially coherent beam can also be characterized by the second-order correlation function, and one of the model is called the cross-spectral density function of Gauss-Shell model (GSM) beam 38 :…”

Section: (2) Turbulencementioning

confidence: 99%

Extended model for environmental interaction in underwater ghost imaging

Yue

Cheng

Hao

2023

AOPC 2022: Optical Sensing, Imaging, and Display Technology

View full text Add to dashboard Cite

Over the past several years, ghost imaging has made remarkable achievements in poor optical conditions, including underwater imaging works. This study describes the interactions between environmental interference and experimental results of ghost imaging applied to underwater scenarios deduced by mathematical processes and related researches findings. In this paper, the causes of notable optical influences: absorption, scattering, and turbulence are firstly presented in the form of statistical mathematics; Sequentially, at the level of complex amplitude in wave optics, the experimental principle: second-order correlation are calculated as a basic for subsequent discussion in physical illustration; further, mainly from existing researches, the text expounds the specific influence of environmental and experimental factors on the imaging quality with above-mentioned models.

show abstract

Section: (2) Turbulencementioning

confidence: 99%

Extended model for environmental interaction in underwater ghost imaging

Yue

Cheng

Hao

2023

AOPC 2022: Optical Sensing, Imaging, and Display Technology

View full text Add to dashboard Cite

show abstract

“…Unlike traditional methods, it achieves the separation of detection and imaging, thus allowing the reconstruction of objects in more complex environments. In many applications, GI outperforms traditional optical imaging, including gas imaging [2], infrared imaging [3], underwater imaging [4][5][6], microscopic imaging [7], 3D imaging [8][9][10], scattering medium imaging [11], and x-ray diffraction tomography [12].…”

Section: Introductionmentioning

confidence: 99%

“…the detection data of the i detection of the target (x,y) point to be measured.Bringing equation (3) into equation(4) …”

mentioning

confidence: 99%

A Remote Security Computational Ghost Imaging Method Based on Quantum Key Distribution Technology

et al. 2022

View full text Add to dashboard Cite

Computational ghost imaging (Computational GI) is a method of acquiring object information by measuring light field intensity, which would be used to achieve imaging in a complicated environment. The main issue to be addressed in computational GI technology is how to achieve rapid and high-quality imaging while assuring the secure transmission of detection data in practical distant imaging applications. In order to address the mentioned issues, this paper proposes a remote secure computational GI method based on quantum communication technology. Using the quantum key distribution (QKD) network, the computational GI system can be reconstructed while solving the problem of information security transmission between the detector and the reconstructed computing device. By exploring the influence of different random measurement matrices on the quality of image reconstruction, it is found that the randomness of the matrix is positively correlated with the imaging quality. The higher the randomness, the higher the imaging quality. Based on this discovery, a new type of quantum cryptography measurement matrix is constructed using quantum cryptography with high randomness. In addition, through further orthogonalization and normalization of the matrix, the matrix has both good randomness and orthogonality, and high-quality imaging results can be obtained at a low sampling rate. The feasibility and effectiveness of the method are verified by random detection, numerical simulation, and simulation imaging experiments. Compared with the traditional computational GI system, the method proposed in this paper has higher transmission security, rapid imaging, and high-quality imaging under this premise, which provides a new idea for the practical development of computational GI technology.

show abstract

“…Due to the scattering and absorption of the oceanic water, the image quality of conventional underwater optical imaging techniques has been greatly constrained in long-distance and complex conditions [1][2][3]. Recently, a new kind of imaging technique, named ghost imaging (GI), has attracted more and more interest in the research fields of atmospheric imaging and underwater imaging [4][5][6][7][8][9][10][11][12][13][14][15][16]. Because of its capacity of resisting disturbance, the GI technique can obtain a sharp image of the object located in complex surroundings with a singlepixel detector.…”

Section: Introductionmentioning

confidence: 99%

“…Then some advanced methods have been successfully applied to improve the quality of the GI system through turbulent atmosphere, such as source-shaping technique [8][9][10], adaptive optical technique [11]. Very recently, the GI technique has been successfully introduced into the underwater imaging field and the properties of the GI system through oceanic turbulence has been studied intensively [12][13][14][15][16]. Due to its advantages of disturbance-free and wider angle of view, the GI proposal offers a better alternative for the underwater optical imaging.…”

Section: Introductionmentioning

confidence: 99%

High-quality underwater computational ghost imaging with shaped Lorentz sources

et al. 2020

View full text Add to dashboard Cite

We show that the quality of the underwater imaging can be effectively improved by utilizing the computational ghost imaging (CGI) scheme with shaped Lorentz sources. The formula for the point-spread function in the underwater CGI system with a shaped Lorentz source is derived theoretically, and numerical examples are given to see how the CGI quality can be affected by the oceanic turbulence, including the rate of dissipation of mean-square temperature, the rate of dissipation of turbulent kinetic energy per unit mass of fluid, and the relative strength of temperature salinity fluctuations, as well as the modulation factor of the shaped Lorentz source. In addition, the relative mean square error is applied to quantitatively evaluate the quality of the recovered images in our underwater CGI system. Compared with the widely used Gaussian source, our results show that the long-distance underwater CGI quality can be greatly enhanced by properly adjusting the modulation factor of the shaped Lorentz source, owing to its almost non-diffracting property. Therefore, our proposed method may be useful for the real application in the long-distance underwater imaging.

show abstract

Ghost Imaging with a Partially Coherent Beam Carrying Twist Phase in a Turbulent Ocean: A Numerical Approach

Cited by 12 publications

References 48 publications

Extended model for environmental interaction in underwater ghost imaging

Extended model for environmental interaction in underwater ghost imaging

A Remote Security Computational Ghost Imaging Method Based on Quantum Key Distribution Technology

High-quality underwater computational ghost imaging with shaped Lorentz sources

Contact Info

Product

Resources

About