Study on the algorithm of computational ghost imaging based on discrete fourier transform measurement matrix
文献类型：期刊论文
| 作者 | Zhang, Leihong; Liang, Dong; Li, Bei; Kang, Yi; Pan, Zilan; Zhang, Dawei; Gao, Xiumin; Ma, Xiuhua |
| 刊名 | Opt. Spectrosc.
 |
| 出版日期 | 2016 |
| 卷号 | 121期号:1页码:143 |
| 通讯作者 | zlh12345_2004@sina.com.cn |
| 英文摘要 | On 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. |
| 收录类别 | SCI |
| 资助信息 | 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记录号 | WOS:000380352500023 |
| 源URL | [http://ir.siom.ac.cn/handle/181231/28431]  |
| 专题 | 上海光学精密机械研究所_空间激光信息技术研究中心 |
| 作者单位 | 中国科学院上海光学精密机械研究所 |
| 推荐引用方式 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.,...&Ma, Xiuhua.(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. |
入库方式： OAI收割
来源：上海光学精密机械研究所
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