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
针对运动物体,提出了集时间和空间关联于一体的成像方案。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。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,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帧间时间信号;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,结合时间关联恢复的运动物体空间相对位置信息,恢复出第三帧图片。以此类推,获得所有帧图片,最后合成物体的运动。通过数值仿真对所提方案的可行性进行了验证。与已有运动物体关联成像方案相比,所提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新的研究思路。
量子光学 关联成像 时间关联 空间关联 运动物体 quantum optics correlation imaging temporal correlation spatial correlation moving object
Author Affiliations
Abstract
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 236037, China
In this Letter, we propose an advanced framework of ghost edge imaging, named compressed ghost edge imaging (CGEI). In the scheme, a set of structured speckle patterns with pixel shifting illuminate on an unknown object. The output is collected by a bucket detector without any spatial resolution. By using a compressed sensing algorithm, we obtain horizontal and vertical edge information of the unknown object with the bucket detector detection results and the known structured speckle patterns. The edge is finally constructed via two-dimensional edge information. The experimental and numerical simulations results show that the proposed scheme has a higher quality and reduces the number of measurements, in comparison with the existing edge detection schemes based on ghost imaging.
110.1650 Coherence imaging 110.1758 Computational imaging Chinese Optics Letters
2019, 17(7): 071101
