Scattering-Assisted Computational Imaging
Imaging objects hidden behind an opaque shelter provides a crucial advantage when physically going around the obstacle is impossible or dangerous. Previous methods have demonstrated that is possible to reconstruct the image of a target hidden from view. However, these methods enable the reconstructi...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-07-01
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| Series: | Photonics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2304-6732/9/8/512 |
| _version_ | 1797442612034011136 |
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| author | Yiwei Sun Xiaoyan Wu Jianhong Shi Guihua Zeng |
| author_facet | Yiwei Sun Xiaoyan Wu Jianhong Shi Guihua Zeng |
| author_sort | Yiwei Sun |
| collection | DOAJ |
| description | Imaging objects hidden behind an opaque shelter provides a crucial advantage when physically going around the obstacle is impossible or dangerous. Previous methods have demonstrated that is possible to reconstruct the image of a target hidden from view. However, these methods enable the reconstruction by using the reflected light from a wall which may not be feasible in the wild. Compared with the wall, the “plug and play” scattering medium is more naturally and artificially accessible, such as smog and fogs. Here, we introduce a scattering-assisted technique that requires only a remarkably small block of single-shot speckle to perform transmission imaging around in-line-of-sight barriers. With the help of extra inserted scattering layers and a deep learning algorithm, the target hidden from view can be stably recovered while the directly uncovered view is reduced to 0.097% of the whole field of view, successfully removing the influence of large foreground occlusions. This scattering-assisted computational imaging has wide potential applications in real-life scenarios, such as covert imaging, resuming missions, and detecting hidden adversaries in real-time. |
| first_indexed | 2024-03-09T12:45:27Z |
| format | Article |
| id | doaj.art-027e2056e37c46449ba09b3cf732a603 |
| institution | Directory Open Access Journal |
| issn | 2304-6732 |
| language | English |
| last_indexed | 2024-03-09T12:45:27Z |
| publishDate | 2022-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Photonics |
| spelling | doaj.art-027e2056e37c46449ba09b3cf732a6032023-11-30T22:12:55ZengMDPI AGPhotonics2304-67322022-07-019851210.3390/photonics9080512Scattering-Assisted Computational ImagingYiwei Sun0Xiaoyan Wu1Jianhong Shi2Guihua Zeng3State Key Laboratory of Advanced Optical Communication Systems and Networks, Center of Quantum Sensing and Information Processing, Shanghai Jiao Tong University, Shanghai 200240, ChinaState Key Laboratory of Advanced Optical Communication Systems and Networks, Center of Quantum Sensing and Information Processing, Shanghai Jiao Tong University, Shanghai 200240, ChinaState Key Laboratory of Advanced Optical Communication Systems and Networks, Center of Quantum Sensing and Information Processing, Shanghai Jiao Tong University, Shanghai 200240, ChinaState Key Laboratory of Advanced Optical Communication Systems and Networks, Center of Quantum Sensing and Information Processing, Shanghai Jiao Tong University, Shanghai 200240, ChinaImaging objects hidden behind an opaque shelter provides a crucial advantage when physically going around the obstacle is impossible or dangerous. Previous methods have demonstrated that is possible to reconstruct the image of a target hidden from view. However, these methods enable the reconstruction by using the reflected light from a wall which may not be feasible in the wild. Compared with the wall, the “plug and play” scattering medium is more naturally and artificially accessible, such as smog and fogs. Here, we introduce a scattering-assisted technique that requires only a remarkably small block of single-shot speckle to perform transmission imaging around in-line-of-sight barriers. With the help of extra inserted scattering layers and a deep learning algorithm, the target hidden from view can be stably recovered while the directly uncovered view is reduced to 0.097% of the whole field of view, successfully removing the influence of large foreground occlusions. This scattering-assisted computational imaging has wide potential applications in real-life scenarios, such as covert imaging, resuming missions, and detecting hidden adversaries in real-time.https://www.mdpi.com/2304-6732/9/8/512non-line-of-sight imagingsingle-shot specklescattering-assistedfield-of-viewremarkably small speckle blockdeep learning |
| spellingShingle | Yiwei Sun Xiaoyan Wu Jianhong Shi Guihua Zeng Scattering-Assisted Computational Imaging Photonics non-line-of-sight imaging single-shot speckle scattering-assisted field-of-view remarkably small speckle block deep learning |
| title | Scattering-Assisted Computational Imaging |
| title_full | Scattering-Assisted Computational Imaging |
| title_fullStr | Scattering-Assisted Computational Imaging |
| title_full_unstemmed | Scattering-Assisted Computational Imaging |
| title_short | Scattering-Assisted Computational Imaging |
| title_sort | scattering assisted computational imaging |
| topic | non-line-of-sight imaging single-shot speckle scattering-assisted field-of-view remarkably small speckle block deep learning |
| url | https://www.mdpi.com/2304-6732/9/8/512 |
| work_keys_str_mv | AT yiweisun scatteringassistedcomputationalimaging AT xiaoyanwu scatteringassistedcomputationalimaging AT jianhongshi scatteringassistedcomputationalimaging AT guihuazeng scatteringassistedcomputationalimaging |