High-quality underwater computational ghost imaging with shaped Lorentz sources

Luo, Chunling; Wan, Wenxiu; Chen, Siyu; Long, A.; Peng, Ling-Na; Wu, Shi-Fang; Qi, Hao-Ran

doi:10.1088/1612-202x/abb094

Cited by 14 publications

(3 citation statements)

References 24 publications

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“…( ) ( ) ( ) Luo 39 made a related study on the shape of light field distribution, which compared the influence of Lorentz and Gaussian beams on the imaging results in the scene with turbulence or not. The light source term of the Lorentz beam is expressed as:…”

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

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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.

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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

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“…The characteristics of spectral distribution for the light source have a significant impact on the quality of underwater GI. In 2020, Luo et al [85] first proposed an underwater CGI scheme based on source-shaping technique. By selecting a suitable modulation factor for the shaped Lorentz source, the effects of oceanic turbulence could be effectively mitigated, which improves the imaging distance of CGI.…”

Section: F Ghost Imagingmentioning

confidence: 99%

Underwater Optical Imaging: Key Technologies and Applications Review

et al. 2021

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The challenges associated with acquiring the clear images of objects in underwater environment are difficult to overcome due to the absorptive and scattering nature of seawater. Recently, the research community has focused on mitigating these effects. The recent developments in image enhancement algorithms and strategies of signal light enhancement have brought improvement in some application areas. In this work, we review the six most common methods based on signal light enhancement. We present the individual working mechanisms, latest representative advances, and suitable application conditions. Moreover, we also present a detailed comparison of these techniques. In each technique, we present their applicable environments and conditions according to the following indicators: operating distance (from 2 attenuation lengths (AL) to 13.5 AL), resolution (from centimeter to millimeter), and field of view (FOV). By summarizing and analyzing the existing problems that restrict the underwater optical imaging techniques, the future development trends are prospected. INDEX TERMSUnderwater optical imaging, Underwater imaging model, Signal light enhancement, Optical properties of seawater

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“…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%

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

et al. 2022

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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.

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High-quality underwater computational ghost imaging with shaped Lorentz sources

Cited by 14 publications

References 24 publications

Extended model for environmental interaction in underwater ghost imaging

Extended model for environmental interaction in underwater ghost imaging

Underwater Optical Imaging: Key Technologies and Applications Review

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

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