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Study on the algorithm of computational ghost imaging based on discrete fourier transform measurement matrix
Zhang, Leihong; Liang, Dong; Li, Bei; Kang, Yi; Pan, Zilan; Zhang, Dawei; Gao, Xiumin; Ma, Xiuhua; zlh12345_2004@sina.com.cn
2016
Source PublicationOpt. Spectrosc.
Volume121Issue:1Pages:143
AbstractOn the basis of analyzing the cosine light field with determined analytic expression and the pseudo-inverse method, the object is illuminated by a presetting light field with a determined discrete Fourier transform measurement matrix, and the object image is reconstructed by the pseudo-inverse method. The analytic expression of the algorithm of computational ghost imaging based on discrete Fourier transform measurement matrix is deduced theoretically, and compared with the algorithm of compressive computational ghost imaging based on random measurement matrix. The reconstruction process and the reconstruction error are analyzed. On this basis, the simulation is done to verify the theoretical analysis. When the sampling measurement number is similar to the number of object pixel, the rank of discrete Fourier transform matrix is the same as the one of the random measurement matrix, the PSNR of the reconstruction image of FGI algorithm and PGI algorithm are similar, the reconstruction error of the traditional CGI algorithm is lower than that of reconstruction image based on FGI algorithm and PGI algorithm. As the decreasing of the number of sampling measurement, the PSNR of reconstruction image based on FGI algorithm decreases slowly, and the PSNR of reconstruction image based on PGI algorithm and CGI algorithm decreases sharply. The reconstruction time of FGI algorithm is lower than that of other algorithms and is not affected by the number of sampling measurement. The FGI algorithm can effectively filter out the random white noise through a low-pass filter and realize the reconstruction denoising which has a higher denoising capability than that of the CGI algorithm. The FGI algorithm can improve the reconstruction accuracy and the reconstruction speed of computational ghost imaging.
SubtypeArticle
Department空间
DOI10.1134/S0030400X16070250
Funding OrganizationNational Basic Research Program of China (973 Program) [2015CB352004]; National Natural Science Foundation of China [61405115, 61378035]; Natural Science Foundation of Shanghai [14ZR1428400]; Innovation Project of Shanghai Municipal Education Commission [ ; National Basic Research Program of China (973 Program) [2015CB352004]; National Natural Science Foundation of China [61405115, 61378035]; Natural Science Foundation of Shanghai [14ZR1428400]; Innovation Project of Shanghai Municipal Education Commission [ ; National Basic Research Program of China (973 Program) [2015CB352004]; National Natural Science Foundation of China [61405115, 61378035]; Natural Science Foundation of Shanghai [14ZR1428400]; Innovation Project of Shanghai Municipal Education Commission [ ; National Basic Research Program of China (973 Program) [2015CB352004]; National Natural Science Foundation of China [61405115, 61378035]; Natural Science Foundation of Shanghai [14ZR1428400]; Innovation Project of Shanghai Municipal Education Commission [
Indexed BySCI
Funding OrganizationNational Basic Research Program of China (973 Program) [2015CB352004]; National Natural Science Foundation of China [61405115, 61378035]; Natural Science Foundation of Shanghai [14ZR1428400]; Innovation Project of Shanghai Municipal Education Commission [ ; National Basic Research Program of China (973 Program) [2015CB352004]; National Natural Science Foundation of China [61405115, 61378035]; Natural Science Foundation of Shanghai [14ZR1428400]; Innovation Project of Shanghai Municipal Education Commission [ ; National Basic Research Program of China (973 Program) [2015CB352004]; National Natural Science Foundation of China [61405115, 61378035]; Natural Science Foundation of Shanghai [14ZR1428400]; Innovation Project of Shanghai Municipal Education Commission [ ; National Basic Research Program of China (973 Program) [2015CB352004]; National Natural Science Foundation of China [61405115, 61378035]; Natural Science Foundation of Shanghai [14ZR1428400]; Innovation Project of Shanghai Municipal Education Commission [
WOS IDWOS:000380352500023
Citation statistics
Document Type期刊论文
Identifierhttp://ir.siom.ac.cn/handle/181231/28431
Collection空间激光信息技术研究中心
Corresponding Authorzlh12345_2004@sina.com.cn
Affiliation中国科学院上海光学精密机械研究所
Recommended Citation
GB/T 7714
Zhang, Leihong,Liang, Dong,Li, Bei,et al. Study on the algorithm of computational ghost imaging based on discrete fourier transform measurement matrix[J]. Opt. Spectrosc.,2016,121(1):143.
APA Zhang, Leihong.,Liang, Dong.,Li, Bei.,Kang, Yi.,Pan, Zilan.,...&zlh12345_2004@sina.com.cn.(2016).Study on the algorithm of computational ghost imaging based on discrete fourier transform measurement matrix.Opt. Spectrosc.,121(1),143.
MLA Zhang, Leihong,et al."Study on the algorithm of computational ghost imaging based on discrete fourier transform measurement matrix".Opt. Spectrosc. 121.1(2016):143.
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