Advances in Ghost Imaging of Moving Targets: A Review
Source abstract
Abstract
Ghost imaging is a novel imaging technique that utilizes the intensity correlation property of an optical field to retrieve information of the scene being measured. Due to the advantages of simple structure, high detection efficiency, etc., ghost imaging exhibits broad application prospects in the fields of space remote sensing, optical encryption transmission, medical imaging, and so on. At present, ghost imaging is gradually developing toward practicality, in which ghost imaging of moving targets is becoming a much-needed breakthrough link. At this stage, we can improve the imaging speed and improve the imaging quality to seek a more optimized ghost imaging scheme for moving targets. Based on the principle of moving target ghost imaging, this review summarizes and compares the existing methods for ghost imaging of moving targets. It also discusses the research direction and the technical challenges at the current stage to provide references for further promotion of the instantiation of ghost imaging applications.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Random lasers and scattering media · Orbital Angular Momentum in Optics · Advanced Optical Imaging Technologies
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
The School of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, China
Yangtze Delta Region Academy, Beijing Institute of Technology, Jiaxing 314019, China
Funding
Beijing Nature Science Foundation of China · Funding of Science and Technology Entry Program under grant · National Natural Science Foundation of China
References (70)
Show source-provided references
1. Research progress of APD three-dimensional imaging lidar10.3788/IRLA20190549 ↗
2. Ghost Imaging Using Optical Correlations10.1002/lpor.201700143 ↗
3. Ghost imaging with a single detector10.1103/PhysRevA.79.053840 ↗
4. Single-pixel imaging via compressive sampling10.1109/MSP.2007.914730 ↗
5. Computational ghost imaging10.1103/PhysRevA.78.061802 ↗
6. Single-pixel imaging 12 years on: A review10.1364/OE.403195 ↗
7. Principles and prospects for single-pixel imaging10.1038/s41566-018-0300-7 ↗
8. Katkovnik, V., and Astola, J. (2012). Computational ghost imaging: Advanced compressive sensing (CS) technique. Int. Soc. Opt. Photonics, 19.10.1117/12.965879 ↗
9. Walter, D., Pitsch, C., Paunescu, G., and Lutzmann, P. (2019, January 9–10). Detection and jamming resistance of quantum ghost imaging for remote sensing. Proceedings of the Electro-Optical Remote Sensing XIII, Strasbourg, France.10.1117/12.2532379 ↗
10. High performance optical encryption based on computational ghost imaging with QR code and compressive sensing technique10.1016/j.optcom.2015.04.063 ↗
11. An introduction to high speed photography and photonics10.1179/136821909X12490326247524 ↗
12. Ghost imaging LiDAR via sparsity constraints using push-broom scanning10.1364/OE.27.013219 ↗
13. Pulse-compression ghost imaging lidar via coherent detection10.1364/OE.24.025983 ↗
14. Multi-scale ghost imaging LiDAR via sparsity constraints using push-broom scanning10.1016/j.optcom.2019.05.016 ↗
15. Performance analysis of ghost imaging lidar in background light environment10.1364/PRJ.5.000431 ↗
16. Han, S., Yu, H., Shen, X., Liu, H., Gong, W., and Liu, Z. (2018). A Review of Ghost Imaging via Sparsity Constraints. Appl. Sci., 8.10.3390/app8081379 ↗
17. Multi-scale Adaptive Computational Ghost Imaging10.1038/srep37013 ↗
18. Simultaneous real-time visible and infrared video with single-pixel detectors10.1038/srep10669 ↗
19. Noninvasive, near-field terahertz imaging of hidden objects using a single-pixel detector10.1126/sciadv.1600190 ↗
20. Nonlinear field-control of terahertz waves in random media for spatiotemporal focusing10.12688/openreseurope.14508.2 ↗
21. Terahertz Nonlinear Ghost Imaging via Plane Decomposition: Toward Near-Field Micro-Volumetry10.1021/acsphotonics.2c01727 ↗
22. Fourier-Transform Ghost Imaging with Hard X Rays10.1103/PhysRevLett.117.113901 ↗
23. On Random-Matrix Bases, Ghost Imaging and X-ray Phase Contrast Computational Ghost Imaging10.1103/PhysRevA.97.062119 ↗
24. Tabletop x-ray ghost imaging with ultra-low radiation10.1364/OPTICA.5.000374 ↗
25. Experimental Study on Anti-Disturbance Ability of Underwater Ghost Imaging10.3788/LOP202158.0611002 ↗
26. Ghost imaging through scattering medium by utilizing scattered light10.1364/OE.453403 ↗
27. Scattering medium-robust computational ghost imaging with random superimposed-speckle patterns10.1016/j.optcom.2022.129083 ↗
28. Twiss Correlation between photons in two coherent beams of light10.1007/BF03010401 ↗
29. “Two-photon” coincidence imaging with a classical source—Art. no. 11360110.1103/PhysRevLett.89.113601 ↗
30. Optical imaging by means of two-photon quantum entanglement10.1103/PhysRevA.52.R3429 ↗
31. Lensless ghost imaging with true thermal light10.1364/OL.34.000695 ↗
32. Computational ghost imaging with uncertain imaging distance10.1016/j.optcom.2019.04.022 ↗
33. Lensless Fourier-transform ghost imaging with classical incoherent light10.1103/PhysRevA.75.021803 ↗
34. Computational ghost imaging with higher-order cosh-Gaussian modulated incoherent sources in atmospheric turbulence10.1016/j.optcom.2015.05.008 ↗
35. 3D single-pixel video10.1088/2040-8978/18/3/035203 ↗
36. Real-time imaging of methane gas leaks using a single-pixel camera10.1364/OE.25.002998 ↗
37. Ghost imaging of a moving target with an unknown constant speed10.1063/1.4885764 ↗
38. Fourier single-pixel imaging techniques and applications10.3788/IRLA201948.0603002 ↗
39. Ghost imaging for an axially moving target with an unknown constant speed10.1364/PRJ.3.000153 ↗
40. Lv, Y., Bao, W., and Zhang, G. (2016, January 24–28). Demonstration of single pixel computational ghost imaging with pseudo-randomly patterned illumination from a liquid crystal display. Proceedings of the Chinese Society for Optical Engineering Conferences, Changchun, China.
41. 1000 fps computational ghost imaging using LED-based structured illumination10.1364/OE.26.002427 ↗
42. Low-cost single-pixel 3D imaging by using an LED array10.1364/OE.26.015623 ↗
43. Ultrahigh-Speed Color Imaging with Single-Pixel Detectors at Low Light Level10.1103/PhysRevApplied.12.034049 ↗
44. Optical correlator-based computational ghost imaging towards high-speed computational ghost imaging10.7567/1347-4065/ab2f6b ↗
45. Adaptive regional single-pixel imaging based on the Fourier slice theorem10.1364/OE.25.015118 ↗
46. Tracking and imaging of moving objects with temporal intensity difference correlation10.1364/OE.27.027851 ↗
47. Feedback ghost imaging by gradually distinguishing and concentrating onto the edge area10.3788/COL202119.041102 ↗
48. Gradual ghost imaging of moving objects by tracking based on cross correlation10.1364/OL.44.005594 ↗
49. Single-pixel imaging of dynamic objects using multi-frame motion estimation10.1038/s41598-021-83810-z ↗
50. Image-free classification of fast-moving objects using “learned” structured illumination and single-pixel detection10.1364/OE.392370 ↗
51. Fast tracking of moving objects using single-pixel imaging10.1016/j.optcom.2019.02.006 ↗
52. Image-free real-time detection and tracking of fast moving object using a single-pixel detector10.1364/OE.27.035394 ↗
53. Image-free real-time 3-D tracking of a fast-moving object using dual-pixel detection10.1364/OL.399204 ↗
54. Image-free real-time target tracking by single-pixel detection10.1364/OE.444500 ↗
55. Mizutani, Y., Shibuya, K., Taguchi, H., Iwata, T., Takaya, Y., and Yasui, T. (2016, January 12–14). Single-pixel imaging by Hadamard transform and its application for hyperspectral imaging. Proceedings of the Spie/cos Photonics Asia, Beijing, China.10.1117/12.2246311 ↗
56. High-order thermal ghost imaging10.1364/OL.34.003343 ↗
57. Zhang, Y., Cao, J., Cui, H., Zhou, D., Han, B., and Hao, Q. (2022). Retina-like Computational Ghost Imaging for an Axially Moving Target. Sensors, 22.10.2139/ssrn.4054483 ↗
58. Guo, Z., Shi, D., Meng, W., Zha, L., Wang, Y., Huang, J., Chen, Y., and Yang, W. (2022). Fast Localization and Single-Pixel Imaging of the Moving Object Using Time-Division Multiplexing. arXiv.10.2139/ssrn.4255395 ↗
59. Single-pixel imaging of a randomly moving object10.1364/OE.473198 ↗
60. Single-pixel imaging of a translational object10.1364/OE.481881 ↗
61. Olson, G.G. (2002, January 28–31). Image motion compensation with frame transfer CCDs. Proceedings of the Machine Vision and Three-Dimensional Imaging Systems for Inspection and Metrology II, Boston, MA, USA.
62. Motion estimation and quality enhancement for a single image in dynamic single-pixel imaging10.1364/OE.27.012841 ↗
63. Tracking Compensation in Computational Ghost Imaging of Moving Objects
64. Yang, D., Chang, C., Wu, G., Luo, B., and Yin, L. (2020). Compressive Ghost Imaging of the Moving Object Using the Low-Order Moments. Appl. Sci., 10.10.3390/app10217941 ↗
65. Denoising ghost imaging under a small sampling rate via deep learning for tracking and imaging moving objects10.1364/OE.412597 ↗
66. Stroboscopic Effect of LED Lighting10.1002/sdtp.10194 ↗
67. Sidestream Dark Field (SDF) imaging: A novel stroboscopic LED ring-based imaging modality for clinical assessment of the microcirculation10.1364/OE.15.015101 ↗
68. Single-pixel remote imaging based on Walsh-Hadamard transform10.7498/aps.65.064201 ↗
69. Hadamard single-pixel imaging versus Fourier single-pixel imaging10.1364/OE.25.019619 ↗
70. Dong, C., Loy, C.C., and Tang, X. (2016). Accelerating the Super-Resolution Convolutional Neural Network, Springer.10.1007/978-3-319-46475-6_25 ↗