基于时间和空间关联的运动物体成像方案研究

量子电子学报 ›› 2019, Vol. 36 ›› Issue (4): 385-392.

• 图像与信息处理 • 下一篇

基于时间和空间关联的运动物体成像方案研究

郭辉1,2，魏朝鹏1，何儒勇1，林泽群1，王乐1，赵生妹1

1南京邮电大学信号处理与传输研究院，江苏南京 210003； 2阜阳师范学院信息工程学院，安徽阜阳 236041

收稿日期:2018-12-24 修回日期:2019-04-23 出版日期:2019-07-28 发布日期:2019-07-11
通讯作者: 赵生妹（1968-），女，江苏丹徒人，博士，教授，博士生导师，主要从事量子信息技术，无线通信与信号处理技术方面的研究。 E-mail:zhaosm@njupt.edu.cn
作者简介:郭辉（1987-），安徽阜阳人，博士生，讲师，主要从事关联成像方面的研究。E-mail：fsyghyz@163.com
基金资助:
Supported by National Natural Science Foundation of China (国家自然科学基金, 61871234, 11847062),Postgraduate Research & Practice Innovation Program of Jiangsu Province (江苏省研究生科研创新计划, KYCX18_0900)

Research on imaging scheme of moving object based on temporal and spatial correlation

GUO Hui1,2, WEI Zhaopeng 1, HE Ruyong 1, LIN Zequn 1, WANG Le1, ZHAO Shengmei1

1 Institute of Signal Processing and Transmission, Nanjing University of Posts and Telecommunications, Nanjing 210003, China; 2 College of Information Engineering, Fuyang Normal University, Fuyang 236041, China

Received:2018-12-24 Revised:2019-04-23 Published:2019-07-28 Online:2019-07-11

摘要/Abstract

摘要： 关联成像提供了一种利用常规手段难以获取图像信息的方法，是近年来量子光学领域研究的前沿和热点之一。近年来，在空间关联成像技术基础之上，出现了时间关联成像。本文集空间和时间关联成像于一体，研究了运动物体的关联成像方案。首先，物体的运动被分割为一系列的图片帧，第一帧选作空间关联的目标物体。其次，将帧间运动物体相对位置信息编码构成的时间信号作为时间关联的目标信息。分别通过空间和时间关联成像技术，非局域地获取第一帧图片和时间信号；根据设定的规则，将时间信号转换为帧间运动物体的空间相对位置，结合第一帧图片对运动物体进行移位操作，获得第二帧图片；在第二帧图片基础上，结合时间关联成像恢复的相对空间位置信息，恢复出第三帧图片。以此类推，获得所有帧图片，最后综合成物体的运动。通过数值仿真对该方案的可行性进行了验证。相比于已有运动物体关联成像方案，该方案降低了运动物体多帧关联成像的数据量和重构时间，为非局域地探索运动物体成像提供了一个新的研究思路。

关键词: 量子光学, 关联成像, 时间关联, 空间关联, 运动物体

Abstract: Correlation imaging provides a method to allow the imaging of objects to be located in various optically harsh or noisy environments. It is one of the frontiers and hot spots of quantum optics. In recent years, the temporal correlation imaging technique has also been developed on the basis of spatial correlation imaging. In the paper, we propose a scheme on a moving object both using spatial and temporal correlations. First, the motion of the object is thought to divide into a series of frames, and the first frame is selected as the target object of the spatial correlation imaging. Secondly, the position information of the moving object between any two adjacent frames is encoded into time signals, and the signal becomes the target of the temporal correlation. With the spatial correlation and temporal correlation imaging, the first frame image information and any inter-frame time signal could be obtained by calculating the second intensity correlations. The inter-frame time signal is later converted to the spatial position information of the moving object with the setting rules. With the first frame and the inter-frame information between the first and the second frame, the second frame is obtained. On the basis of the second frame image, the third frame image is reconstructed by combining the relative spatial position information recovered by temporal correlation imaging. And so on, the moving object imaging is obtained by integrating all frames information finally. The feasibility of the scheme is verified by numerical simulation. Compared with the existed correlation imaging scheme for moving objects, our scheme reduces the amount of data and the reconstruction time of multi-frame image correlation imaging of moving objects, and provides a new research method for exploring the imaging of the moving objects nonlocality.

Key words: quantum optics, correlation imaging, temporal correlation, spatial correlation, moving object

中图分类号:

O439

郭辉1,2，魏朝鹏1，何儒勇1，林泽群1，王乐1，赵生妹1. 基于时间和空间关联的运动物体成像方案研究[J]. 量子电子学报, 2019, 36(4): 385-392.

GUO Hui1,2, WEI Zhaopeng 1, HE Ruyong 1, LIN Zequn 1, WANG Le1, ZHAO Shengmei1. Research on imaging scheme of moving object based on temporal and spatial correlation[J]. Chinese Journal of Quantum Electronics, 2019, 36(4): 385-392.

参考文献

[1] Zhang Minghui, Song Zhiping. A criterion for convergence of ghost imaging [J]. Chinese Journal of Quantum Electronics (量子电子学报), 2016, 33(1): 8-19 （in Chinese）. [2] Chan K W C, O'Sullivan M N, Boyd R W. High-order thermal ghost imaging [J]. Optics Letters, 2009, 34(21): 3343-3345. [3] Su Feng, Liu Xiang, Long Huabao, et al. Sampling number of image reconstruction arithmetic based on quantum correlated imaging [J]. Chinese Journal of Quantum Electronics (量子电子学报), 2015, 32(2): 144-149 （in Chinese）. [4] Wang L, Zou L, Zhao S. Edge detection based on subpixel-speckle-shifting ghost imaging [J]. Optics Communications, 2018, 407: 181-185. [5] Cheng J. Ghost imaging through turbulent atmosphere [J]. Optics Express, 2009, 17(10): 7916-7921. [6] Lyu M, Wang W, Wang H, et al. Deep-learning-based ghost imaging [J]. Scientific Reports, 2017, 7: 17865. [7] Zhang Na, Yao Yuan. Multi-scale compressed ghost imaging system [J]. Chinese Journal of Quantum Electronics (量子电子学报), 2015, 32(4): 385-390 （in Chinese）. [8] Klyshko D N. Two-photon light: Influence of filtration and a new possible EPR experiment [J]. Physics Letters A, 1988, 128(3-4): 133-137. [9] Pittman T B, Shih Y H, Strekalov D V, et al. Optical imaging by means of two-photon quantum entanglement [J]. Physical Review A, 1995, 52(5): R3429-R3432. [10] Gatti A, Bache M, Magatti D, et al. Coherent imaging with pseudo-thermal incoherent light [J]. Journal of Modern Optics, 2006, 53(5-6): 739-760. [11] Bromberg Y, Katz O, Silberberg Y. Ghost imaging with a single detector [J]. Physical Review A, 2009, 79(5): 053840. [12] Shirai T, Setälä T, Friberg A T. Temporal ghost imaging with classical non-stationary pulsed light [J]. Journal of the Optical Society of America B, 2010, 27(12): 2549-2555. [13] Ryczkowski P, Barbier M, Friberg A T, et al. Ghost imaging in the time domain [J]. Nature Photonics, 2016, 10: 167-170. [14] Devaux F, Moreau P A, Denis S, et al. Computational temporal ghost imaging [J]. Optica, 2016, 3(7): 698-701. [15] Ryczkowski P, Barbier M, Friberg A T, et al. Magnified time-domain ghost imaging [J]. APL Photonics, 2017, 2(4): 046102. [16] Kuusela T A. Temporal ghost imaging [J]. Eur. J. Phys., 2017, 38: 035301. [17] Liu J, Wang J, Chen H, et al. High visibility temporal ghost imaging with classical light [J]. Optics Communications, 2018, 410: 824-829. [18] Li H, Xiong J, Zeng G. Lensless ghost imaging for moving objects [J]. Optical Engineering, 2011, 50(12): 127005. [19] Zhang Cong, Gong Wenlin, Han Shensheng. Ghost imaging for moving targets and its application in remote sensing [J]. Chinese Journal of Lasers (中国激光), 2012, 39(12): 1214003 (in Chinese). [20] Li E, Bo Z, Chen M, et al. Ghost imaging of a moving target with an unknown constant speed [J]. Applied Physics Letters, 2014, 104(25): 251120. [21] Magaña-Loaiza O S, Howland G A, Malik M, et al. Compressive object tracking using entangled photons [J]. Applied Physics Letters, 2013, 102(23): 231104. [22] Xu Xiaohe, Liu Jiao, Zhao Shengmei. Compressive quantum correlated imaging scheme for moving object with changing background [J]. Journal of Nanjing University of Posts and Telecommunications (Natural Science Edition) (南京邮电大学学报:自然科学版), 2016, 36(2): 111-117 (in Chinese). [23] Wang Menghan, Zhang Zhaoqi, Zhao Shengmei. Performance comparison of different compressed sensing reconstruction algorithms in ghost imaging [J]. Chinese Journal of Quantum Electronics (量子电子学报), 2017, 34(5): 523-529 （in Chinese）.

基于时间和空间关联的运动物体成像方案研究

Research on imaging scheme of moving object based on temporal and spatial correlation

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