基于连续小波变换的抗干扰计算鬼成像  

Strong Robust Computational Ghost Imaging Based on Continuous Wavelet Transform

作　　者：王爽 王晓茜[1] 苟立丹[1] 姚治海[1] 高超 冯玉玲[1] Wang Shuang;Wang Xiaoqian;Gou Lidan;Yao Zhihai;Gao Chao;Feng Yuling(College of Science,Changchun University Science and Technology,Changchun 130022,Jilin,China)

机构地区：[1]长春理工大学理学院,吉林长春130022

出　　处：《激光与光电子学进展》2022年第18期170-179,共10页Laser & Optoelectronics Progress

基　　金：吉林省自然科学基金(YDZJ202101ZYTS030)。

摘　　要：计算鬼成像由于具有分辨率高和抗干扰能力强等特点,近年来被广泛研究。区别于传统成像方案,由于成像机制,计算鬼成像对物体成像时需要进行大量的测量,因此提高它的成像效率一直是一个重要的研究内容。在此背景下,由于可以较好地对信号进行去相关,进而对信号进行大幅压缩,小波变换受到了广泛的关注。近年来,不少学者将Haar小波引入计算鬼成像系统中,成像效率得到了提高。然而,小波函数的种类有很多,性质各异,关于其他小波函数在计算鬼成像系统中的应用鲜有报道。大部分小波函数只能进行连续小波变换,直接应用于计算鬼成像系统中会面临许多问题,针对这个情况,提出了准连续小波变换架构,在实验上实现了基于Mexihat和Gauss小波的计算鬼成像。实验结果表明,这两种连续小波方案既能够进行正常成像,同时相比于Haar小波,它们也表现出了更强劲的抗干扰能力,更加适用于实际应用环境。Computational ghost imaging(CGI)has been widely studied owing to its high resolution and robustness.In contrast with traditional imaging schemes,CGI requires large amount of measurements to be taken for reconstructing a single image;thus,the efficiency of CGI needs to be improved.In this context,wavelet transform has attracted much attention because it can better decorrelate and then significantly compress a signal.By introducing Haar wavelet transform into the CGI scheme,the imaging speed has been significantly improved.However,because of the presence of various types of wavelets with different features,the application of other wavelets in the CGI scheme is scarcely reported.Because many wavelets are unorthogonal,they can only perform continuous wavelet transform,which may bring problems when applying them to the CGI scheme.Thus,a semicontinuous wavelet transform scheme was proposed.A CGI based on Mexihat and Gauss wavelets(both in 1D and 2D)were experimentally realized.The experimental results show that the two continuous wavelet schemes can perform normal imaging and show stronger antiinterference ability than Haar wavelet,which are more suitable for practical applications.

关 键 词：计算鬼成像 Gauss小波 Mexihat小波 连续小波变换 成像系统中的噪声 

分 类 号：O436[机械工程—光学工程]