Gradual ghost imaging of moving objects by tracking based on cross correlation

Sun, Shuai; Gu, Junhao; Lin, Huizu; Jiang, Liang; Liu, Weitao

doi:10.1364/ol.44.005594

Cited by 61 publications

(18 citation statements)

References 31 publications

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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%

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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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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“…Many studies have investigated GI for the detection of targets moving at unknown speeds perpendicular to the light propagation direction [28,29]. High-quality reconstructed images have been obtained by compensating for the target traveling speed relative to the light source.…”

Section: A Periodic Pseudo-thermal Light Field For Gi Of Moving Targetsmentioning

confidence: 99%

“…The feasibility of realizing GI on moving targets using a periodic pseudo-thermal light field was then verified experimentally and numerically. For the GI of a target moving at an unknown speed, a method for calculating the target speed has previously been reported [28,29]. In the present study, the target velocity extraction was performed using the OPA steering beam based on the centroid tracking method, for a velocity measurement error within 5%.…”

Section: A Periodic Pseudo-thermal Light Field For Gi Of Moving Targetsmentioning

confidence: 99%

Ghost Imaging of Moving Target Based on the Periodic Pseudo-Thermal Light Field Generated by a 2D Silicon OPA

et al. 2022

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In this paper, we report a ghost imaging (GI) method using a periodic pseudo-thermal optical field generated by a 4×4 silicon optical phased array (OPA) with an independently tuned grating coupler antenna. The OPA-emitted far field obtained by applying a random external voltage to the OPA exhibits clear periodicity. Using the OPA-emitted periodic optical field, we numerically and experimentally demonstrate the GI of targets moving within a large field-of-view. The proposed image reconstruction system requires no OPA-chip mechanical movement. Image enhancement and stitching are achieved by exploiting the OPA-emitted periodic pseudo-thermal light field.The proposed method has various potential applications, such as LiDAR, medical imaging, and optical communication.

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“…First, the data sequence is divided into several segments, and a blurred image is reconstructed from each. Then the displacement of the object at different position is obtained via cross correlation between the blurred images, and a final image is recovered by superposition of the blurred images according to the displacement [39],…”

Section: B Tracking and Imaging Of Moving Objectmentioning

confidence: 99%

“…With static or shifting spatial-resolved pattern, tracking was achieved from fluctuations produced by motion of the object [37]. In GI and SPI, if the velocity or the trajectory is obtained, image of the object can be reconstructed gradually [38,39]. While, tracking and imaging under small photon flux is still an open problem.…”

Section: Introductionmentioning

confidence: 99%

Single-pixel Tracking and Imaging under Weak Illumination

Sun,

Hu,

et al. 2020

Preprint

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Under weak illumination, tracking and imaging moving object turns out to be hard. By spatially collecting the signal, single pixel imaging schemes promise the capability of image reconstruction from low photon flux. However, due to the requirement on large number of samplings, how to clearly image moving objects is an essential problem for such schemes. Here we present a principle of single pixel tracking and imaging method. Velocity vector of the object is obtained from temporal correlation of the bucket signals in a typical computational ghost imaging system. Then the illumination beam is steered accordingly. Taking the velocity into account, both trajectory and clear image of the object are achieved during its evolution. Since tracking is achieved with bucket signals independently, this scheme is valid for capturing moving object as fast as its displacement within the interval of every sampling keeps larger than the resolution of the optical system. Experimentally, our method works well with the average number of detected photons down to 1.88 photons/speckle.

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Gradual ghost imaging of moving objects by tracking based on cross correlation

Cited by 61 publications

References 31 publications

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

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

Ghost Imaging of Moving Target Based on the Periodic Pseudo-Thermal Light Field Generated by a 2D Silicon OPA

Single-pixel Tracking and Imaging under Weak Illumination

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