Simultaneous spatial, spectral, and 3D compressive imaging via efficient Fourier single-pixel measurements

Zhang, Zibang; Liu, Shijie; Peng, Junzheng; Yao, Manhong; Zheng, Guoan; Zhong, Jingang

doi:10.1364/optica.5.000315

Cited by 156 publications

(54 citation statements)

References 19 publications

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“…To efficiently reconstruct the frequency response of DUT, we use compressed sensing method [31][32][33][34][35][36][37][38]. The ghost imaging using compressed sensing provides a higher signal-noise ratio with far less measurements than conventional ghost imaging [39].…”

Section: Ghost Network Analyzermentioning

confidence: 99%

Ghost network analyzer

Zhang

Yin

et al. 2020

New J. Phys.

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Ghost imaging obtains an image of an amplitude/phase object by spatial correlation between two separated light beams. In ghost imaging, two detectors are used in a counter-intuitive way. One is a multi-pixel detector that does not view the object in reference arm, and the other one is a single-pixel detector that does view the object but only record the total light power in object arm. Neither detector could recovery the object independently, but spatial correlation from two detectors allows the reconstruction of a ghost image of the object. Here for the first time we present ghost network analyzer for obtaining frequency properties of a target. Interestingly, this novel technique proves insensitive to the distortion introduced by nonlinear devices, while conventional frequency-domain measurement modalities such as network analyzer can hardly work properly with distortion. The proposed technique provides a breakthrough method for distortion-free dynamic frequency response analysis.

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Section: Ghost Network Analyzermentioning

confidence: 99%

Ghost network analyzer

Zhang

Yin

et al. 2020

New J. Phys.

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“…The acquisition process of each pixel value can extract one four-step coefficient of a watermark using Eq. (19), which implies that the actual size left for the watermark in the Fourier spectral region is only 1600 pixels. In order to reconstruct a watermark image of size 100×100 pixels, 1600 Fourier coefficients of low frequency region make this compressive reconstruction possible.…”

Section: Extension To Invisible Watermarking Based On Tv-fspi Techniquementioning

confidence: 99%

“…Using Eq. (19), the watermark hidden in the host scene can be extracted, as shown in Fig.14(f). The PSNR of the extracted watermark is about 20 dB, and the SSIM is about 0.65.…”

Section: Extension To Invisible Watermarking Based On Tv-fspi Techniquementioning

confidence: 99%

“…In 2014, Zhang et al presented a novel Fourier single-pixel imaging (FSPI) technique, in which the phase-shifting sinusoid structured illumination and the inverse Fast Fourier transform (IFFT) were employed to obtain the high-quanlity images [18]. Subsequently, a series of improved expansion schemes based on FSPI were reported [19][20][21][22].…”

Section: Introductionmentioning

confidence: 99%

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Image watermarking and fusion based on Fourier single-pixel imaging with weighed light source

Qiu

Wang

et al. 2019

Opt. Express

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In previous single-pixel imaging systems, the light source was generally idle with respect to time. Here, we propose a novel image fusion and visible watermarking scheme based on Fourier single-pixel imaging (FSPI) with a multiplexed time-varying (TV) signal, which is generated by the watermark pattern hidden in the light source. We call this scheme as TV-FSPI. With TV-FSPI, we can realize high-quality visible image watermarking, encrypted image watermarking and full-color visible image watermarking. We also discuss the extension to invisible watermarking based on TV-FSPI. Furthermore, we don't have to recode illumination patterns, because TV-FSPI can be extended to existing mainstream illumination patterns, such as random illumination mode and Hadamard illumination mode. Thus TV-FSPI has the potential to be used in single-pixel broadcasting system and multi-spectral single-pixel imaging system.

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“…In single-pixel imaging, the number of mask patterns required for one image reconstruction is proportional to the pixel resolution of the image, therefore limiting the frame rate of the system. One approach is to decrease the required number via compressive sensing algorithms of different sophistications [20][21][22][23][24][25][26]. However, these algorithms either have a computational overhead or are incapable of reaching a significant low compressive ratio.…”

Section: Introductionmentioning

confidence: 99%

Single-pixel 3D reconstruction via a high-speed LED array

2020

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Three-dimensional reconstruction can be performed in many ways, among which photometric stereo is an established and intensively investigated method. In photometric stereo, geometric alignment or pixel-matching between two-dimensional images under different illuminations is crucial to the accuracy of three-dimensional reconstruction, and the dynamic of the scene makes the task difficult. In this work, we propose a single-pixel three-dimensional reconstructioning system utilizing structured illumination, which is implemented via a high-speed LED array. By performing 500 kHz structured illumination and capturing the reflected light intensity with detectors at different spatical locations, two-dimensional images of different shadows with 64 × 64 pixel resolution are reconstructed at 122 frame per second. Three-dimensional profiles of the scene are further reconstructed using the surface gradients derived by photometric stereo algorithm, achieving a minimum accuracy of 0.50 mm. Chromatic three-dimensional imaging via an RGB LED array is also performed at 40 frame per second. The demonstrated system significantly improves the dynamic performance of the single-pixel three-dimensional reconstruction system, and offers potential solutions to many applications, such as fast three-dimensional inspection.

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Simultaneous spatial, spectral, and 3D compressive imaging via efficient Fourier single-pixel measurements

Cited by 156 publications

References 19 publications

Ghost network analyzer

Ghost network analyzer

Image watermarking and fusion based on Fourier single-pixel imaging with weighed light source

Single-pixel 3D reconstruction via a high-speed LED array

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