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基于计算鬼成像的层析成像研究

Tomography Research Based on Computational Ghost Imaging
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摘要 计算鬼成像相较于传统鬼成像的成像结构更加简单,并可以设计不同类型的散斑进行成像,所以成像质量和成像时间都得到了进一步的提升,近期在层析成像领域展示出了巨大的应用潜力。提出一种新的基于计算鬼成像的层析成像方案,并在计算鬼成像的架构下,通过一组测量得到物体不同层面的二维平面信息,从而获得物体的完整的三维图像信息。进而对上述方案进行了理论分析和数值仿真,仿真过程以光路中不同位置的两个平面上的物体代表层析成像的两个层面。结果表明,通过计算鬼成像,可以同时复原出两个不同层面上物体的清晰的像,从而证明了该方案的可行性,为基于计算鬼成像的层析成像的应用提供了新的思路。 Compared with traditional ghost imaging,the imaging structure of computational ghost imaging is simpler,and different types of speckles can be designed for imaging;therefore,the imaging quality and time are further improved,which shows great application potential in the field of tomographic imaging recently. In this paper,a new tomography scheme based on computational ghost imaging is proposed. In the framework of computational ghost imaging,two-dimensional plane information of different layers of the object is obtained through a group of measurements,thereby obtaining the complete three-dimensional image information of the object. Theoretical analysis and numerical simulation are carried out. Objects in two planes at different positions in the optical path represent the two layers of tomography. The results show that clear images of objects on two different levels can be recovered simultaneously by computational ghost imaging,which proves the feasibility of the scheme and provides a new idea for the application of computed ghost tomography.
作者 邵嘉琪 李畅 闫凌浩 刘娜 张烨 SHAO Jiaqi;LI Chang;YAN Linghao;LIU Na;ZHANG Ye(School of Physics,Changchun University of Science and Technology,Changchun 130022)
出处 《长春理工大学学报(自然科学版)》 2022年第5期20-25,共6页 Journal of Changchun University of Science and Technology(Natural Science Edition)
基金 吉林省自然科学基金(YDZJ202101ZYTS030)。
关键词 鬼成像 计算鬼成像 层析成像 待测物体 信息恢复 ghost imaging computational ghost imaging tomography objects to be measured retrieve information
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