Iterative filtered ghost imaging  

作　　者：Shao-Ying Meng Mei-Yi Chen Jie Ji Wei-Wei Shi Qiang Fu Qian-Qian Bao Xi-Hao Chen Ling-An Wu 孟少英;陈美伊;季杰;史伟伟;付强;鲍倩倩;陈希浩;吴令安(Key Laboratory of Optoelectronic Devices and Detection Technology,School of Physics,Liaoning University,Shenyang 110036,China;Institute of Physics,Chinese Academy of Sciences,Beijing 100190,China)

机构地区：[1]Key Laboratory of Optoelectronic Devices and Detection Technology,School of Physics,Liaoning University,Shenyang 110036,China [2]Institute of Physics,Chinese Academy of Sciences,Beijing 100190,China

出　　处：《Chinese Physics B》2022年第2期681-686,共6页中国物理B（英文版）

基　　金：supported by the National Key Research and Development Program of China(Grant No.2018YFB0504302);the National Natural Science Foundation of China(Grant No.61975229);Civil Space Project(Grant No.D040301)。

摘　　要：It is generally believed that,in ghost imaging,there has to be a compromise between resolution and visibility.Here we propose and demonstrate an iterative filtered ghost imaging scheme whereby a super-resolution image of a grayscale object is achieved,while at the same time the signal-to-noise ratio(SNR)and visibility are greatly improved,without adding complexity.The dependence of the SNR,visibility,and resolution on the number of iterations is also investigated and discussed.Moreover,with the use of compressed sensing the sampling number can be reduced to less than 1%of the Nyquist limit,while maintaining image quality with a resolution that can exceed the Rayleigh diffraction bound by more than a factor of 10.

关 键 词：ghost imaging bandpass filtering compressed sensing ITERATION 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术] O439[自动化与计算机技术—计算机科学与技术]