Terahertz Meta-Holograms Reconstruction Based on Compressed Sensing
The introduction of single-pixel imaging and compressed sensing (CS) techniques into terahertz (THz) imaging has sped up image acquisition and avoided raster scanning. At present, most single-pixel terahertz imaging developments are based on simple metal samples, researchers rarely study the reconst...
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IEEE
2020-01-01
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| Series: | IEEE Photonics Journal |
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| Online Access: | https://ieeexplore.ieee.org/document/9130058/ |
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| author | Mengyuan Hu Zhen Tian Xieyu Chen Xingye Yang Zhihao Yi Qiu Wang Chunmei Ouyang Jianqiang Gu Jiaguang Han Weili Zhang |
| author_facet | Mengyuan Hu Zhen Tian Xieyu Chen Xingye Yang Zhihao Yi Qiu Wang Chunmei Ouyang Jianqiang Gu Jiaguang Han Weili Zhang |
| author_sort | Mengyuan Hu |
| collection | DOAJ |
| description | The introduction of single-pixel imaging and compressed sensing (CS) techniques into terahertz (THz) imaging has sped up image acquisition and avoided raster scanning. At present, most single-pixel terahertz imaging developments are based on simple metal samples, researchers rarely study the reconstruction of complex structural samples with large attenuation in the terahertz domain, such as metasurface holographic images. Here, we present an implementation of the single-pixel compressed sensing approach into THz metasurface holography reconstruction. By laser projecting a set of binary patterns on a 500-μm thick silicon wafer using a digital micromirror device (DMD), THz wavefront of the holographic metasurface is spatially encoded. Single-element detector is used to measure electric field amplitude of the transmitted THz radiation for each pattern, and then the hologram is reconstructed by Total variation Augmented Lagrangian and Alternating Direction Algorithm (TVAL3). Besides, the reconstruction effects are also analyzed by reducing measurement number, it can maintain more than 95% of the image information under 20% compression. The demonstrated combination of terahertz holography and single-pixel compressed sensing imaging provides new possibilities for metasurface imaging, verifies the stability of terahertz single-pixel imaging, and the scheme may lead to advances in fast terahertz imaging. |
| format | Article |
| id | doaj-art-a8d5cc0ae79e49b58675e7d04c7095b4 |
| institution | Matheson Library |
| issn | 1943-0655 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Photonics Journal |
| spelling | doaj-art-a8d5cc0ae79e49b58675e7d04c7095b42025-07-01T23:49:36ZengIEEEIEEE Photonics Journal1943-06552020-01-011241910.1109/JPHOT.2020.30060639130058Terahertz Meta-Holograms Reconstruction Based on Compressed SensingMengyuan Hu0https://orcid.org/0000-0002-2861-4325Zhen Tian1Xieyu Chen2Xingye Yang3Zhihao Yi4Qiu Wang5Chunmei Ouyang6https://orcid.org/0000-0002-9413-9630Jianqiang Gu7https://orcid.org/0000-0001-8130-4329Jiaguang Han8Weili Zhang9Center for Terahertz Waves and College of Precision Instrument and Optoelectronics Engineering, Tianjin University and the Key Laboratory of Optoelectronics Information and Technology (Ministry of Education), Tianjin, ChinaCenter for Terahertz Waves and College of Precision Instrument and Optoelectronics Engineering, Tianjin University and the Key Laboratory of Optoelectronics Information and Technology (Ministry of Education), Tianjin, ChinaCenter for Terahertz Waves and College of Precision Instrument and Optoelectronics Engineering, Tianjin University and the Key Laboratory of Optoelectronics Information and Technology (Ministry of Education), Tianjin, ChinaCenter for Terahertz Waves and College of Precision Instrument and Optoelectronics Engineering, Tianjin University and the Key Laboratory of Optoelectronics Information and Technology (Ministry of Education), Tianjin, ChinaCenter for Terahertz Waves and College of Precision Instrument and Optoelectronics Engineering, Tianjin University and the Key Laboratory of Optoelectronics Information and Technology (Ministry of Education), Tianjin, ChinaCenter for Terahertz Waves and College of Precision Instrument and Optoelectronics Engineering, Tianjin University and the Key Laboratory of Optoelectronics Information and Technology (Ministry of Education), Tianjin, ChinaCenter for Terahertz Waves and College of Precision Instrument and Optoelectronics Engineering, Tianjin University and the Key Laboratory of Optoelectronics Information and Technology (Ministry of Education), Tianjin, ChinaCenter for Terahertz Waves and College of Precision Instrument and Optoelectronics Engineering, Tianjin University and the Key Laboratory of Optoelectronics Information and Technology (Ministry of Education), Tianjin, ChinaCenter for Terahertz Waves and College of Precision Instrument and Optoelectronics Engineering, Tianjin University and the Key Laboratory of Optoelectronics Information and Technology (Ministry of Education), Tianjin, ChinaCenter for Terahertz Waves and College of Precision Instrument and Optoelectronics Engineering, Tianjin University and the Key Laboratory of Optoelectronics Information and Technology (Ministry of Education), Tianjin, ChinaThe introduction of single-pixel imaging and compressed sensing (CS) techniques into terahertz (THz) imaging has sped up image acquisition and avoided raster scanning. At present, most single-pixel terahertz imaging developments are based on simple metal samples, researchers rarely study the reconstruction of complex structural samples with large attenuation in the terahertz domain, such as metasurface holographic images. Here, we present an implementation of the single-pixel compressed sensing approach into THz metasurface holography reconstruction. By laser projecting a set of binary patterns on a 500-μm thick silicon wafer using a digital micromirror device (DMD), THz wavefront of the holographic metasurface is spatially encoded. Single-element detector is used to measure electric field amplitude of the transmitted THz radiation for each pattern, and then the hologram is reconstructed by Total variation Augmented Lagrangian and Alternating Direction Algorithm (TVAL3). Besides, the reconstruction effects are also analyzed by reducing measurement number, it can maintain more than 95% of the image information under 20% compression. The demonstrated combination of terahertz holography and single-pixel compressed sensing imaging provides new possibilities for metasurface imaging, verifies the stability of terahertz single-pixel imaging, and the scheme may lead to advances in fast terahertz imaging.https://ieeexplore.ieee.org/document/9130058/Single-pixel imagingcompressed sensingmeta-hologramsTVAL3 |
| spellingShingle | Mengyuan Hu Zhen Tian Xieyu Chen Xingye Yang Zhihao Yi Qiu Wang Chunmei Ouyang Jianqiang Gu Jiaguang Han Weili Zhang Terahertz Meta-Holograms Reconstruction Based on Compressed Sensing IEEE Photonics Journal Single-pixel imaging compressed sensing meta-holograms TVAL3 |
| title | Terahertz Meta-Holograms Reconstruction Based on Compressed Sensing |
| title_full | Terahertz Meta-Holograms Reconstruction Based on Compressed Sensing |
| title_fullStr | Terahertz Meta-Holograms Reconstruction Based on Compressed Sensing |
| title_full_unstemmed | Terahertz Meta-Holograms Reconstruction Based on Compressed Sensing |
| title_short | Terahertz Meta-Holograms Reconstruction Based on Compressed Sensing |
| title_sort | terahertz meta holograms reconstruction based on compressed sensing |
| topic | Single-pixel imaging compressed sensing meta-holograms TVAL3 |
| url | https://ieeexplore.ieee.org/document/9130058/ |
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