Mask-based denoising scheme for ghost imaging  

作　　者：Yang Zhou Shu-Xu Guo Fei Zhong Tian Zhang 周阳;郭树旭;钟菲;张天(State Key Laboratory on Integrated Optoelectronics,College of Electronic Science and Engineering,Jilin University,Changchun 130012,China;Changchun Institute of Technology,School of Electrical Engineering and Information Technology,Changchun 130012,China;School of Physics,Northeast Normal University,Changchun 130024,China)

机构地区：[1]State Key Laboratory on Integrated Optoelectronics,College of Electronic Science and Engineering,Jilin University,Changchun 130012,China [2]Changchun Institute of Technology,School of Electrical Engineering and Information Technology,Changchun 130012,China [3]School of Physics,Northeast Normal University,Changchun 130024,China

出　　处：《Chinese Physics B》2019年第8期148-155,共8页中国物理B（英文版）

基　　金：Project supported by the National Natural Science Foundation of China(Grant No.61627823);the Foundation for Excellent Young Talents of Jilin Province,China(Grant No.20190103010JH);the “13th Five-Year” Science and Technology Research Project of the Education Department of Jilin Province,China(Grant No.JJKH20190277KJ);the China Postdoctoral Science Foundation(Grant No.2018M641759);the Fundamental Research Funds for the Central Universities,China(Grant No.2412018QD002)

摘　　要：Ghost imaging(GI)is thought of as a promising imaging method in many areas.However,the main drawback of GI is the huge measurement data and low signal-to-noise ratio.In this paper,we propose a novel mask-based denoising scheme to improve the reconstruction quality of GI.We first design a mask through the maximum between-class variance(OTSU)method and construct the measurement matrix with speckle patterns.Then,the correlated noise in GI can be effectively suppressed by employing the mask.From the simulation and experimental results,we can conclude that our method has the ability to improve the imaging quality compared with traditional GI method.Ghost imaging(GI) is thought of as a promising imaging method in many areas. However, the main drawback of GI is the huge measurement data and low signal-to-noise ratio. In this paper, we propose a novel mask-based denoising scheme to improve the reconstruction quality of GI. We first design a mask through the maximum between-class variance(OTSU)method and construct the measurement matrix with speckle patterns. Then, the correlated noise in GI can be effectively suppressed by employing the mask. From the simulation and experimental results, we can conclude that our method has the ability to improve the imaging quality compared with traditional GI method.

关 键 词：GHOST imaging MAXIMUM between-class variance MASK image quality 

分 类 号：O4[理学—物理]