Effect of uneven temperature distribution on underwater computational ghost imaging

Wang, Mengqian; Bai, Yanfeng; Zou, Xuanpengfan; Peng, Mingda; Zhou, Liyu; Fu, Qin; Jiang, Tong-Ji; Fu, Xiquan

doi:10.1088/1555-6611/ac6ac3

Cited by 6 publications

(3 citation statements)

References 29 publications

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“…These patterns are used to form a reconstructed image through correlation calculation. Owing to its wide range of light sources and strong anti-interference ability, GI has attracted significant attention in several related fields such as X-ray imaging 1 , 2 , terahertz imaging 3 , acoustic imaging 4 , three-dimensional imaging 5 , 6 , fluorescence imaging 1 , optical encryption 7 , 8 , and underwater imaging 9 – 15 . The application scenarios and influencing factors of GI are depicted in Fig.…”

Section: Introductionmentioning

confidence: 99%

A ghost imaging framework based on laser mode speckle pattern for underwater environments

Yang,

Wang,

et al. 2024

Commun Eng

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Due to the complex physical processes found in underwater environments, such as absorption, scattering, and noise, it is challenging to obtain high-quality images using conventional camera-based imaging techniques. Ghost imaging possesses strong anti-interference capabilities and can effectively obtain images in underwater environments. Here, we propose a ghost imaging framework based on a physical model of M2-ordered laser mode patterns and apply it to Ghost Imaging. The simulation results show that the Laser Mode Speckle Ghost Imaging can reconstruct the overall trapped contour even at a low sampling rate, specifically below 0.64%. A high-quality image with a Peak Signal-to-Noise Ratio of 19 dB can be achieved using the Laser Mode Speckle Ghost Imaging when the sampling rate is 5%. Even with a relative random noise of 1.0%–5.0%, the imaging quality of Laser Mode Speckle Ghost Imaging is superior to that of Random speckle pattern Ghost Imaging, Walsh speckle pattern Ghost Imaging, and Haar speckle pattern Ghost Imaging when the sampling rate consistent. Our experimental results in a turbid water environment confirm the conclusions drawn from the simulation results. The proposed Laser Mode Speckle Ghost Imaging can be used as an imaging solution in challenging liquid environments, such as turbid liquids, inclement weather, and biological tissue fluids.

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Section: Introductionmentioning

confidence: 99%

A ghost imaging framework based on laser mode speckle pattern for underwater environments

Yang,

Wang,

et al. 2024

Commun Eng

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“…There is a possibility to further reduce the sampling rate of GI using the properties of the orthogonal matrix. Due to the advantages and breakthroughs in key technologies, GI has been applied in some real environments, such as turbulent atmospheres [21], speckle media [22], underwater environments [23][24][25][26][27][28][29][30][31], super-resolved quantum [32], and microscopy field [33]. GI has the advantage of anti-disturbance, which provides a better option for underwater optical imaging.…”

Section: Introductionmentioning

confidence: 99%

Underwater environment laser ghost imaging based on Walsh speckle patterns

Yang

Feng

2023

Front. Phys.

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Underwater imaging is a challenging task because of the effects of scattering and absorption in water. Ghost imaging (GI) has attracted increasing attention because of its simple structure, long range, and achievability under weak light intensity. In an underwater environment, conventional imaging is limited by low sensitivity, resulting in fuzzy images, while ghost imaging can solve this problem. This study proposes underwater laser ghost imaging based on Walsh speckle patterns. According to the simulated and experimental results, noise resistance and a low sampling rate of ghost imaging based on Walsh speckle patterns are proved. As the turbidity of the underwater environment increases, the imaging quality of ghost imaging based on Walsh speckle patterns decreases. However, it remains much better than that of ghost imaging based on random speckle patterns and Hadamard speckle patterns, whereas conventional imaging is no longer distinguishable. Ghost imaging based on Walsh speckle patterns can be performed with a sampling rate lower than 10%, and the peak signal-to-noise ratio and the structural similarity of the results increase by 150.15% and 396.66%, respectively, compared with random speckle pattern ghost imaging. An identifiable image of ghost imaging based on Walsh speckle patterns can be reconstructed with a sampling rate of 6% in a turbid water environment, which is simulated with the concentration of the milk powder not higher than 11.0 g/L. This method promotes the further development of optical imaging technology for underwater targets with a low sampling rate based on ghost imaging.

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“…The comparison of the imaging qualities of orthogonal and random speckle patterns in air 13 has shown that orthogonal speckle patterns are more suitable for low-sampling CGI. Owing to its wide range of light sources and strong antiinterference ability, GI has attracted significant attention in several related fields such as X-ray imaging 14,15 , terahertz imaging 16 , acoustic imaging 17 , three-dimensional imaging 18,19 , fluorescence imaging 14 , optical encryption 20,21 , and underwater imaging [22][23][24][25][26][27] . Application scenarios and influencing factors of GI are shown in Fig.…”

mentioning

confidence: 99%

Laser mode speckle ghost imaging of underwater environments

Feng

Yang²,

Wu³

et al. 2023

Preprint

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Absorption, scattering, noise, and low-sensitivity detector lead to poor quality in conventional underwater imaging. In response, Ghost imaging (GI) has emerged as an effective anti-interference underwater imaging method based on the relationship between illumination speckle patterns and a non-spatial-resolution detector. Conventional speckle patterns are distributed based on mathematical models such as the random, Hadamard, or Walsh models. In this study, we apply novel speckle patterns based on a physical model of M2 ordered laser modes to GI. The laser mode speckle pattern GI (LMS-GI) system achieves perfect imaging quality at a sampling rate of 5% or less; good imaging quality persists even below 0.64%. Despite relative random noise of 1.0%~ 5.0%, it outperforms the other GIs. Furthermore, at a low sampling rate of 2.48%, LMS-GI is effective not only in inclement weather, but also in complex liquid environments such as turbid liquids and biological tissue fluids.

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Effect of uneven temperature distribution on underwater computational ghost imaging

Cited by 6 publications

References 29 publications

A ghost imaging framework based on laser mode speckle pattern for underwater environments

A ghost imaging framework based on laser mode speckle pattern for underwater environments

Underwater environment laser ghost imaging based on Walsh speckle patterns

Laser mode speckle ghost imaging of underwater environments

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