Modeling and simulations of a three-dimensional ghost imaging method with differential correlation sampling

Liu, Bohu; Song, Ping; Zhai, Yayu; Wang, Xuanquan; Zhang, Wuyang

doi:10.1364/oe.442889

Cited by 5 publications

(1 citation statement)

References 37 publications

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“…The continuous-wave (CW) lidar systems primarily consist of amplitude-modulated continuous wave (AMCW) lidar and frequency-modulated continuous wave (FMCW) lidar. The application of CS to CW lidar systems is still in its nascent stages, with most research confined to simulation phases [13][14][15][16][17][18][19]. Table 1 displays representative works that integrate CS with pulsed or CW lidar.…”

Section: Introductionmentioning

confidence: 99%

Dual-Frequency Lidar for Compressed Sensing 3D Imaging Based on All-Phase Fast Fourier Transform

Li,

Hu,

Jie

et al. 2024

JOPR

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Lidar, with its advantages of high measurement accuracy, fine angular resolution, and strong anti-interference capability, plays a pivotal role in the field of scene depth information acquisition. Traditional approaches to achieving lateral spatial resolution in imaging include raster scanning and array detectors. The former necessitates frequent scanning to acquire depth maps, resulting in time consumption and instability. The latter encounters challenges such as high dark count rates, pixel crosstalk, and excessive costs for obtaining high-resolution images using array detectors. The introduction of compressed sensing (CS) offers a novel perspective on realizing non-scanning three-dimensional imaging. In this context, we propose a novel three-dimensional imaging system that combines compressed sensing with coherent dual-frequency continuous-wave lidar, and utilizes the all-phase Fourier transform to extract both amplitude and phase information. This system requires only M measurements, and through a reconstruction algorithm, it achieves the inversion of depth information for N-pixel scenes (M << N). Integrating cost-effective components such as digital micromirrors and single-point detectors, this affordable system accomplishes three-dimensional imaging of a single target. Notably, it significantly reduces the required number of measurements while concurrently ensuring enhanced eye safety and signal-to-noise ratio.

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Section: Introductionmentioning

confidence: 99%

Dual-Frequency Lidar for Compressed Sensing 3D Imaging Based on All-Phase Fast Fourier Transform

Li,

Hu,

Jie

et al. 2024

JOPR

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Three-dimensional imaging by compressed sensing based dual-frequency laser phase ranging

Jie

Zhang

et al. 2023

APL Photonics

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Scanless three-dimensional (3D) imaging technology has received extensive attention in recent years due to its rapid detection and system reliability. Compressed sensing imaging technology provides a new solution for the realization of scan-free 3D imaging. In this paper, a 3D imaging method based on dual-frequency laser phase ranging based on compressed sensing technology is introduced and realized. Using the combination of dual-frequency laser phase ranging and compressed sensing theory, two-dimensional range reconstruction from the time-domain light intensity signal collected by a single-point detector is performed. Aiming at the spatial sparsity of the target scene, this technology uses the compressed sensing algorithm to solve the phase information of the two-dimensional spatial distribution contained in the time domain signal so as to invert the 3D image information of the target scene and realize the effect of scanning-free 3D imaging. First, the feasibility of the system is verified by simulations, and the imaging effects of different reconstruction algorithms on different terrains are compared. Second, a non-scanning 3D imaging experimental platform is designed and built. Finally, the 3D images of multiple objects with 32 × 32 resolution are successfully reconstructed through experiments with a compression ratio of 0.25. The ranging accuracy of this system is 0.05 m. This work is promising for applications in multiple objects’ fast detections.

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Distribution Retrieval of Both Depth and Reflectivity in 3-D Objects via Using Modulated Single Pixel Imaging

Zhang

Cao

Zhang

et al. 2023

IEEE Trans. Instrum. Meas.

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Modeling and simulations of a three-dimensional ghost imaging method with differential correlation sampling

Cited by 5 publications

References 37 publications

Dual-Frequency Lidar for Compressed Sensing 3D Imaging Based on All-Phase Fast Fourier Transform

Dual-Frequency Lidar for Compressed Sensing 3D Imaging Based on All-Phase Fast Fourier Transform

Three-dimensional imaging by compressed sensing based dual-frequency laser phase ranging

Distribution Retrieval of Both Depth and Reflectivity in 3-D Objects via Using Modulated Single Pixel Imaging

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