Sub-Nyquist underwater denoising ghost imaging with a Coiflet-wavelet-order-based Hadamard matrix

Wu, Heng; Zhao, Genping; He, Chunhua; Cheng, Lianglun; Luo, Shaojuan

doi:10.1103/physreva.106.053522

Cited by 4 publications

(1 citation statement)

References 51 publications

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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.…”

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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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mentioning

confidence: 99%

Laser mode speckle ghost imaging of underwater environments

Feng

Yang²,

Wu³

et al. 2023

Preprint

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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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Feature ghost imaging for color identification

Gao¹,

Li²,

Zheng³

et al. 2023

Opt. Express

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On the basis of computational ghost imaging (CGI), we present a new imaging technique, feature ghost imaging (FGI), which can convert the color information into distinguishable edge features in retrieved grayscale images. With the edge features extracted by different order operators, FGI can obtain the shape and the color information of objects simultaneously in a single-round detection using one single-pixel detector. The feature distinction of rainbow colors is presented in numerical simulations and the verification of FGI’s practical performance is conducted in experiments. Furnishing a new perspective to the imaging of colored objects, our FGI extends the function and the application fields of traditional CGI while sustaining the simplicity of the experimental setup.

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Sub-Nyquist underwater denoising ghost imaging with a Coiflet-wavelet-order-based Hadamard matrix

Cited by 4 publications

References 51 publications

Laser mode speckle ghost imaging of underwater environments

Laser mode speckle ghost imaging of underwater environments

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

Feature ghost imaging for color identification

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