Experimental Investigation of Iterative Pseudoinverse Ghost Imaging
An iterative pseudoinverse ghost imaging (IPGI) method is proposed based on iterative denoising and pseudoinverse ghost imaging (PGI). The background noise in the imaging is eliminated in iterations by setting an appropriate threshold. The IPGI method provides a significantly larger enhancement of t...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2018-01-01
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| Series: | IEEE Photonics Journal |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8355484/ |
| _version_ | 1819163309393313792 |
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| author | Xiaofeng Lv Shuxu Guo Chenglong Wang Chao Yang Hongwei Zhang Junfeng Song Wenlin Gong Fengli Gao |
| author_facet | Xiaofeng Lv Shuxu Guo Chenglong Wang Chao Yang Hongwei Zhang Junfeng Song Wenlin Gong Fengli Gao |
| author_sort | Xiaofeng Lv |
| collection | DOAJ |
| description | An iterative pseudoinverse ghost imaging (IPGI) method is proposed based on iterative denoising and pseudoinverse ghost imaging (PGI). The background noise in the imaging is eliminated in iterations by setting an appropriate threshold. The IPGI method provides a significantly larger enhancement of the peak signal-to-noise ratio (PSNR) than the PGI technique for binary objects. Experiments and data analyses are performed to evaluate the performance of the proposed method. Compared with conventional GI, differential GI, and PGI methods, the proposed method has the highest performance in visual effects and significantly improves the imaging quality. For a certain PSNR, the proposed method provides satisfactory performance in terms of computing time. |
| first_indexed | 2024-12-22T17:42:05Z |
| format | Article |
| id | doaj.art-125546f95a0c47f3a7ec81afd4bbe03d |
| institution | Directory Open Access Journal |
| issn | 1943-0655 |
| language | English |
| last_indexed | 2024-12-22T17:42:05Z |
| publishDate | 2018-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Photonics Journal |
| spelling | doaj.art-125546f95a0c47f3a7ec81afd4bbe03d2022-12-21T18:18:23ZengIEEEIEEE Photonics Journal1943-06552018-01-011031810.1109/JPHOT.2018.28327208355484Experimental Investigation of Iterative Pseudoinverse Ghost ImagingXiaofeng Lv0https://orcid.org/0000-0003-0975-2201Shuxu Guo1Chenglong Wang2https://orcid.org/0000-0002-4617-0182Chao Yang3Hongwei Zhang4Junfeng Song5Wenlin Gong6Fengli Gao7https://orcid.org/0000-0003-0975-2201State Key Laboratory on Integrated Optoelectronics, College of Electronic Science and Engineering, Jilin University, Changchun, ChinaState Key Laboratory on Integrated Optoelectronics, College of Electronic Science and Engineering, Jilin University, Changchun, ChinaKey Laboratory for Quantum Optics and Center for Cold Atom Physics, Shanghai Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Shanghai, ChinaState Key Laboratory on Integrated Optoelectronics, College of Electronic Science and Engineering, Jilin University, Changchun, ChinaState Key Laboratory on Integrated Optoelectronics, College of Electronic Science and Engineering, Jilin University, Changchun, ChinaState Key Laboratory on Integrated Optoelectronics, College of Electronic Science and Engineering, Jilin University, Changchun, ChinaKey Laboratory for Quantum Optics and Center for Cold Atom Physics, Shanghai Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Shanghai, ChinaState Key Laboratory on Integrated Optoelectronics, College of Electronic Science and Engineering, Jilin University, Changchun, ChinaAn iterative pseudoinverse ghost imaging (IPGI) method is proposed based on iterative denoising and pseudoinverse ghost imaging (PGI). The background noise in the imaging is eliminated in iterations by setting an appropriate threshold. The IPGI method provides a significantly larger enhancement of the peak signal-to-noise ratio (PSNR) than the PGI technique for binary objects. Experiments and data analyses are performed to evaluate the performance of the proposed method. Compared with conventional GI, differential GI, and PGI methods, the proposed method has the highest performance in visual effects and significantly improves the imaging quality. For a certain PSNR, the proposed method provides satisfactory performance in terms of computing time.https://ieeexplore.ieee.org/document/8355484/Imaging processingcoherence imagingphoton statisticsquantum optics. |
| spellingShingle | Xiaofeng Lv Shuxu Guo Chenglong Wang Chao Yang Hongwei Zhang Junfeng Song Wenlin Gong Fengli Gao Experimental Investigation of Iterative Pseudoinverse Ghost Imaging IEEE Photonics Journal Imaging processing coherence imaging photon statistics quantum optics. |
| title | Experimental Investigation of Iterative Pseudoinverse Ghost Imaging |
| title_full | Experimental Investigation of Iterative Pseudoinverse Ghost Imaging |
| title_fullStr | Experimental Investigation of Iterative Pseudoinverse Ghost Imaging |
| title_full_unstemmed | Experimental Investigation of Iterative Pseudoinverse Ghost Imaging |
| title_short | Experimental Investigation of Iterative Pseudoinverse Ghost Imaging |
| title_sort | experimental investigation of iterative pseudoinverse ghost imaging |
| topic | Imaging processing coherence imaging photon statistics quantum optics. |
| url | https://ieeexplore.ieee.org/document/8355484/ |
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