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基于压缩感知的关联成像教学实验研究 被引量:1

Experimental Research on Ghost Imaging Teaching Based on Compressed Sensing
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摘要 关联成像技术与传统成像技术不同的地方在于在获取物体信息的过程中,关联成像技术利用了无空间分辨率的桶探测器,对于物体信息的检测与重构是分离开来的,并且它获得的重构图像较传统成像技术获得的重构图像清晰,是近年来量子光学领域的重点研究对象。在关联成像的理论基础上结合了压缩感知技术,并将压缩感知关联成像系统应用于教学实验中,从成像的物理原理角度,确定了实验中所用到的光源、物体的选择等具体实验内容,将具体的实验数据利用MATLAB软件仿真得到最终的重构效果。通过将具体的实验和MATLAB方法进行有机的结合,不仅提高了学生实践方面的能力,同时还掌握了算法。 The difference between ghost imaging technology and traditional imaging technology lies in the process of acquiring object information. The ghost imaging technology utilizes a barrel detector without spatial resolution, which separates the de-tection and reconstruction of object information. The reconstructed image is clearer than the reconstructed image obtained by traditional imaging technology, and is the key research object in the field of quantum optics in recent years. Based on the theory of ghost imaging, combines the compressed sensing technology and applies the compressed sensing correlation imaging system to the teaching experiment. From the perspective of the physical principle of imaging, the specific experimental content such as the choice of light source and object used in the experiment is determined. The specific experimental data is simulated by MAT-LAB software to obtain the final reconstruction effect. By combining the specific experiments with the MATLAB method, it not only improves the students' practical ability, but also masters the algorithm.
作者 张雷洪 熊锐 张大伟 Zhang Leihong;Xiong Rui;Zhang Dawei(College of Communication and Art Design,University of Shanghai for Science and Technology,Shanghai 200093,China;School of optical electrical and computer engineering,University of Shanghai for Science and Technology,Shanghai 200093,China)
出处 《应用激光》 CSCD 北大核心 2018年第5期873-878,共6页 Applied Laser
基金 自然科学基金资助项目(项目编号:18ZR1425800) 超光滑表面无损检测安徽省重点实验室资助项目(项目编号:CGHBMWSJC03) The national natural science foundation of China(Grant NO.61405115 61875125)
关键词 关联成像 压缩感知 实验教学 图像分析 ghost imaging compressed sensing experimental teaching image analysis
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