Terahertz Single-Pixel Imaging Improved by Using Silicon Wafer with SiO2 Passivation

She, Rongbin; Liu, Wenquan; Wei, Guanglu; Lu, Yuanfu; Li, Guangyuan

doi:10.3390/app10072427

Cited by 5 publications

(2 citation statements)

References 28 publications

(37 reference statements)

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“…Due to its function of adopting a single-pixel detector to collect the intensity of an object illuminated by a sequence of masked patterns, single-pixel imaging (SPI) is attractive in diverse applications such as ultrafast imaging [1,2], hyperspectral imaging [3,4], remote tracking [5,6], and three-dimensional imaging [7,8] for its low cost, high signal-to-noise ratio, and broadband operation [9][10][11]. The SPI techniques are especially important for wavelengths with expensive multi-pixel detectors, including terahertz [12][13][14][15], infrared [16][17][18][19], and X-ray [20][21][22][23].…”

Section: Introductionmentioning

confidence: 99%

Single-Pixel Imaging Based on Deep Learning Enhanced Singular Value Decomposition

Deng,

She,

Liu

et al. 2024

Sensors

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We propose and demonstrate a single-pixel imaging method based on deep learning network enhanced singular value decomposition. The theoretical framework and the experimental implementation are elaborated and compared with the conventional methods based on Hadamard patterns or deep convolutional autoencoder network. Simulation and experimental results show that the proposed approach is capable of reconstructing images with better quality especially under a low sampling ratio down to 3.12%, or with fewer measurements or shorter acquisition time if the image quality is given. We further demonstrate that it has better anti-noise performance by introducing noises in the SPI systems, and we show that it has better generalizability by applying the systems to targets outside the training dataset. We expect that the developed method will find potential applications based on single-pixel imaging beyond the visible regime.

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Section: Introductionmentioning

confidence: 99%

Single-Pixel Imaging Based on Deep Learning Enhanced Singular Value Decomposition

Deng,

She,

Liu

et al. 2024

Sensors

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“…In addition, metamaterials have important applications in the modulation of THz waves [13,14]. THz wave modulation technology based on semiconductor materials has achieved dynamic modulation of THz waves on amplitude, frequency, phase, polarization/polarization state and other parameters [15][16][17][18][19]. Especially in combination with digital micromirror devices (DMDs), THz waves are used to project two-dimensional patterns with a certain spatial distribution onto a semiconductor surface for photo-excitation to generate all-optical induced photoconductive patterns for wavefront modulation of THz.…”

Section: Introductionmentioning

confidence: 99%

Design Optimization of Silicon-Based Optically Excited Terahertz Wave Modulation

Zhao,

Wang,

Lin

et al. 2024

Photonics

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The modulation of a terahertz (THz) wave on amplitude, phase and polarization is important for the application of THz technology, especially in the field of imaging, and is one of the current research hotspots. Silicon-based, optically excited THz modulator is a wavefront modulation technique with a simple, compact and reconfigurable optical path. It can realize the dynamic modulation of THz wavefronts by only changing the projected two-dimensional pattern, but it still suffers from the problems of lower modulation efficiency and slower modulation rates. In this article, the Drude model in combination with the multiple thin layers structure model and Fresnel matrix method is used to compare the modulation efficiencies of three modulation modes and more factors. The method is more accurate than the popular proposed method, especially when the thickness of the excited photoconductive layers reaches a few hundred microns. In comparing the three modes, namely transmission, ordinary reflection and total internal reflection, it is found the total internal reflection modulation mode has the best modulation efficiency. Further, under this mode, the effects of three factors, including the lifetime of photo-excited carriers, the wavelength of pump light and the frequency of THz wave, on the performance of THz modulator are analyzed. The simulation results show that the realization of total internal reflection using silicon prisms is a simple and effective method to improve the modulation efficiency of a silicon-based optically excited THz modulator, which provides references for the design of a photo-induced THz modulator.

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Deep Learning Optimized Terahertz Single-Pixel Imaging

Zhu

She

Liu

et al. 2022

IEEE Trans. THz Sci. Technol.

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Terahertz Single-Pixel Imaging Improved by Using Silicon Wafer with SiO2 Passivation

Cited by 5 publications

References 28 publications

Single-Pixel Imaging Based on Deep Learning Enhanced Singular Value Decomposition

Single-Pixel Imaging Based on Deep Learning Enhanced Singular Value Decomposition

Design Optimization of Silicon-Based Optically Excited Terahertz Wave Modulation

Deep Learning Optimized Terahertz Single-Pixel Imaging

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