1000 fps computational ghost imaging using LED-based structured illumination

Xu, Zihao; Chen, Wen; Penuelas, Jose; Padgett, Miles J.; Sun, Mingjie

doi:10.1364/oe.26.002427

Cited by 195 publications

(110 citation statements)

References 36 publications

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“…Assuming that reconstructing an image with the size of 400 × 280 requires 10,000 measurements, this on-chip hardware system needs 20 s to obtain one image. We noted that there are some high-speed schemes in the field of computational GI and single-pixel imaging [42], for example, Xu et al displayed a single-pixel imaging at a speed of 1,000 frames per second with the size of 32 × 32 [44]. However, the limiting factor of our imaging speed is the CMOS (PYTHON300, whose operating frequency is 500 measurements per second), not the speed of FPGA.…”

Section: Disscusion and Conclusionmentioning

confidence: 95%

Instant ghost imaging: algorithm and on-chip implementation

Yang¹,

Zhang²,

Liu³

et al. 2020

Opt. Express

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Ghost imaging (GI) is an imaging technique that uses the correlation between two light beams to reconstruct the image of an object. Conventional GI algorithms require large memory space to store the measured data and perform complicated offline calculations, limiting practical applications of GI. Here we develop an instant ghost imaging (IGI) technique with a differential algorithm and an implemented high-speed on-chip IGI hardware system. This algorithm uses the signal between consecutive temporal measurements to reduce the memory requirements without degradation of image quality compared with conventional GI algorithms. The on-chip IGI system can immediately reconstruct the image once the measurement finishes; there is no need to rely on post-processing or offline reconstruction. This system can be developed into a realtime imaging system. These features make IGI a faster, cheaper, and more compact alternative to a conventional GI system and make it viable for practical applications of GI.

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Section: Disscusion and Conclusionmentioning

confidence: 95%

Instant ghost imaging: algorithm and on-chip implementation

Yang¹,

Zhang²,

Liu³

et al. 2020

Opt. Express

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show abstract

“…Ghost imaging (GI) is an imaging technique that generates the image of an object by calculating the second-order correlation function between two light beams [1][2][3][4][5][6]. Ghost imaging has been widely researched in recent years [7][8][9][10][11][12][13][14][15][16]; it has important applications in many fields such as cryptography [17,18], lidar [19,20], medical imaging [21,22], micro object imaging [23,24], three-dimensional imaging [25][26][27][28] and single-pixel imaging [29][30][31][32][33]. In many practical scenes, GI is subject to interference from the transmission medium and from optical background noise.…”

Section: Introductionmentioning

confidence: 99%

Instant ghost imaging: improving robustness for ghost imaging subject to optical background noise

Yang

Zhang

et al. 2020

OSA Continuum

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Ghost imaging (GI) is an imaging technique that uses the second-order correlation between two light beams to obtain the image of an object. However, standard GI is affected by optical background noise, which reduces its practical use. We investigated the robustness of an instant ghost imaging (IGI) algorithm against optical background noise and compare it with the conventional GI algorithm. Our results show that IGI is extremely resistant to spatiotemporally varying optical background noise that can change over a large range. When the noise is large in relation to the signal, IGI will still perform well in conditions that prevent the conventional GI algorithm from generating an image because IGI uses signal differences for imaging. Signal differences are intrinsically resistant to common noise modes, so the IGI algorithm is strongly robust against noise. This research is of great significance for the practical application of GI.

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“…In the experiment, the LED array has 64 × 64 pixels resolution with the size of 88 mm × 88 mm. The LED array can display binary patterns with red, green and blue at a maximum rate of 2.5 MHz, which is a significantly improved device of our previous work [28]. The improvements are achieved by choosing a chromatic LED chip with a small size (SMD18-038BT, chip size 1.3 mm).…”

Section: Experiments Resultsmentioning

confidence: 99%

“…Hadamard matrix is used for the mask patterns, which had a small computational overhead [26]. To display Hadamard patterns efficiently, the same two consecutive display strategy from [28] is employed here, with 128 I/O ports. A lens (f = 150 mm) is located at 515 mm far away from the LED array, and projected the light of patterns onto the object, which is 210 mm behind the lens.…”

Section: Experiments Resultsmentioning

confidence: 99%

“…Previous works more or less suffered from the limited rate of the structured illumination, reaching 64 × 64 pixel resolution at 8 frame per second with a 22 KHz digital-micromirrordevice [19], or 32 × 32 pixel resolution at 10 fps with a 10 KHz LED array [27]. A 32 × 32 resolution LED array with a 500 KHz illumination rate was proposed in our previous work [28], achieving 1000 fps single-pixel imaging at a 25% compressive rate. However, the poor spatial resolution of the LED array in previous works limited its potential in various applications.…”

Section: Introductionmentioning

confidence: 99%

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

2020

Self Cite

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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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1000 fps computational ghost imaging using LED-based structured illumination

Cited by 195 publications

References 36 publications

Instant ghost imaging: algorithm and on-chip implementation

Instant ghost imaging: algorithm and on-chip implementation

Instant ghost imaging: improving robustness for ghost imaging subject to optical background noise

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

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