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作 者:王之润 何鹏 赵文静 翟爱平 王东 WANG Zhirun;HE Peng;ZHAO Wenjing;ZHAI Aiping;WANG Dong(College of Physics and Optoelectronics,Taiyuan University of Technology,Taiyuan 030024,China;Key Laboratory of Advanced Transducers and Intelligent Control Systems,Ministry of Education and Shanxi Province,Taiyuan University of Technology,Taiyuan 030024,China)
机构地区:[1]太原理工大学物理与光电工程学院,山西太原030024 [2]太原理工大学新型传感器与智能控制教育部重点实验室,山西太原030024
出 处:《量子电子学报》2022年第6期962-972,共11页Chinese Journal of Quantum Electronics
基 金:山西省国际科技合作项目,202104041101009;山西省回国留学人员科研资助项目,2021-035;山西省自然科学基金,202103021223091,20210302123169。
摘 要:为在较低成本下解决单像素成像速度问题,从硬件和算法两个层面提出解决方案,搭建软硬件协同的单像素成像体系。算法层面在Hadamard单像素成像中引入DQN算法,提出DQN-Hadamard单像素成像,获得对特定目标物体的相对最优采样顺序。硬件层面基于LED阵列的高速低成本基底图案投射方案,选择ARM与FPGA特性结合的ZYNQ 7020作为主控,搭建ARM与FPGA协同的Hadamard单像素成像系统。最后结合算法与硬件,完成DQN-Hadamard单像素成像在ARM与FPGA协同的Hadamard单像素成像系统的移植,并与自适应斜Z字形采样单像素成像做了详细比较。成像结果显示,所提方案在30%的采样率下即可重建目标物体图像,验证了低成本软硬件协同单像素成像的可行性。To speed up single-pixel imaging at a low cost,solutions are proposed from both hardware and algorithm aspects,so that a single-pixel imaging system with software and hardware cooperation is built.On algorithm,DQN-Hadamard single-pixel imaging is proposed by introducing DQN algorithm into Hadamard single-pixel imaging,to obtain the relatively optimal sampling sequence for specific target objects.On hardware,based on the high-speed and low-cost pattern projection scheme using LED array,ZYNQ 7020,which combines the characteristics of ARM and FPGA,is selected as the controller to build a Hadamard single-pixel imaging system with the cooperation of ARM and FPGA.Finally,combining the algorithm and hardware,the transplantation of DQN-Hadamard single-pixel imaging to the built Hadamard single-pixel imaging system is completed,and then DQN-Hadamard single-pixel imaging system is compared with the single-pixel imaging system using adaptive zig-zag sampling in detail.The imaging results show that as for the proposed imaging system,the target object can be reconstructed at the sampling rate of 30%,so that the feasibility of low-cost single-pixel imaging with software and hardware cooperation is verified.
关 键 词:单像素成像 ZYNQ DQN 低成本 软硬件协同
分 类 号:TP391[自动化与计算机技术—计算机应用技术]
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