2017
DOI: 10.1038/srep45325
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High Speed Computational Ghost Imaging via Spatial Sweeping

Abstract: Computational ghost imaging (CGI) achieves single-pixel imaging by using a Spatial Light Modulator (SLM) to generate structured illuminations for spatially resolved information encoding. The imaging speed of CGI is limited by the modulation frequency of available SLMs, and sets back its practical applications. This paper proposes to bypass this limitation by trading off SLM’s redundant spatial resolution for multiplication of the modulation frequency. Specifically, a pair of galvanic mirrors sweeping across th… Show more

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Cited by 52 publications
(22 citation statements)
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“…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%
“…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%
“…Compressive sensing [36,37], a convex optimization procedure, reduces the required number of acquisitions for GI with good image quality [38][39][40]. However, it is at the cost of more computing resources, which increases the GI's dependence on the computer.…”
Section: Introductionmentioning
confidence: 99%
“…With high-speed cameras or avalanche photodiode arrays, the limitation of the proposed method might be the speed at which phase masks can be changed. An ultrafast digital micromirror device can be used to encode patterns with a speed as high as 97 kHz [34]. Together with the high dimensionality of the used alphabet (HB = log2 36 = 5.2 bit per pulse) and unity wavefront shaping fidelity, it gives rise to a secure bit rate of up to 0.5 Mb/s.…”
Section: Discussionmentioning
confidence: 99%