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作 者:王肖霞[1] 陶勇 杨风暴[1] 习江涛 WANG Xiao-xia;TAO Yong;YANG Feng-bao;XI Jiang-tao(School of Information and Communication Engineering,North University of China,Taiyuan 030051,China;School of Electrical Computer and Telecommunications Engineering,University of Wollongong,Wollongong NSW2522,Australia)
机构地区:[1]中北大学信息与通信工程学院,太原0300512 [2]伍伦贡大学电气计算机与通信工程学院,澳大利亚伍伦贡NSW2522
出 处:《光子学报》2020年第12期226-236,共11页Acta Photonica Sinica
基 金:国家自然科学基金(Nos.61503345,61272472,61972363);山西省应用基础研究计划青年科技研究基金(No.201901D211233)。
摘 要:利用多个散斑图组合的方式提出了一种新的鬼成像优化方法.利用桶探测器值的大小对照射到目标物体上的多个散斑图进行排序,使相邻散斑图间差异性减小;通过对相邻散斑图间的叠加以及对应桶探测器值的调制,有效降低待关联数据间冗余和数量,并利用不同的关联运算规则实现对目标物体的重构.数值仿真结果表明,对于目标图像,在总采样次数4000次、4个相邻散斑图组合方式下,所提方法与未组合-调制下传统鬼成像、差分鬼成像和正负调制鬼成像相比,其峰值信噪比/对比度分别提升了21.7%/27.3%、8.3%/17.8%和14.7%/25.7%;通过对20幅目标图像的数值模拟与结果分析,发现峰值信噪比/对比度提升率在15%和30%以上的占比分别为90%/85%和50%/55%,说明该方法具有较好的普适性和推广价值.A new optimization method of ghost imaging by combining multiple speckle patterns was proposed.Firstly,the multiple speckle patterns irradiated on the target object are sorted to reduce the difference between adjacent speckle patterns in the order of smallest to largest in the value of the bucket detector.Secondly,the adjacent speckle patterns are combined to create a new speckle pattern,and the corresponding values of the bucket detector are modulated to a new bucket detector value.This process enables effectively reduce the redundancy and number of data to be associated.Finally,using three different correlation calculation rules to reconstruct of the target object.Numerical simulation results show that for the grayscale image,the proposed method with 4000 measurements has a higher peak value than traditional ghost imaging,differential ghost imaging,and positive-negative ghost imaging under uncombined and modulated case.The peak signal-to-noise ratio/contrast has been improved by 21.7%/27.3%,8.3%/17.8%and 14.7%/25.7%,respectively.Through the numerical simulation and result analysis of 20 target images,it is found that 90%/85%and 50%/55%of peak signal-to-noise ratio/contrast enhancement rates are above 15%and 30%respectively,and it shows that the proposed method has good universality and popularization value.
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