Real-time holographic camera for obtaining real 3D scene hologram
Abstract As a frontier technology, holography has important research values in fields such as bio-micrographic imaging, light field modulation and data storage. However, the real-time acquisition of 3D scenes and high-fidelity reconstruction technology has not yet made a breakthrough, which has seri...
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| Main Authors: | , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Nature Publishing Group
2025-02-01
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| Series: | Light: Science & Applications |
| Online Access: | https://doi.org/10.1038/s41377-024-01730-9 |
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| author | Zhao-Song Li Chao Liu Xiao-Wei Li Yi Zheng Qian Huang Yi-Wei Zheng Ye-Hao Hou Chen-Liang Chang Da-Wei Zhang Song-Lin Zhuang Di Wang Qiong-Hua Wang |
| author_facet | Zhao-Song Li Chao Liu Xiao-Wei Li Yi Zheng Qian Huang Yi-Wei Zheng Ye-Hao Hou Chen-Liang Chang Da-Wei Zhang Song-Lin Zhuang Di Wang Qiong-Hua Wang |
| author_sort | Zhao-Song Li |
| collection | DOAJ |
| description | Abstract As a frontier technology, holography has important research values in fields such as bio-micrographic imaging, light field modulation and data storage. However, the real-time acquisition of 3D scenes and high-fidelity reconstruction technology has not yet made a breakthrough, which has seriously hindered the development of holography. Here, a novel holographic camera is proposed to solve the above inherent problems completely. The proposed holographic camera consists of the acquisition end and the calculation end. At the acquisition end of the holographic camera, specially configured liquid materials and liquid lens structure based on voice-coil motor-driving are used to produce the liquid camera, so that the liquid camera can quickly capture the focus stack of the real 3D scene within 15 ms. At the calculation end, a new structured focus stack network (FS-Net) is designed for hologram calculation. After training the FS-Net with the focus stack renderer and learnable Zernike phase, it enables hologram calculation within 13 ms. As the first device to achieve real-time incoherent acquisition and high-fidelity holographic reconstruction of a real 3D scene, our proposed holographic camera breaks technical bottlenecks of difficulty in acquiring the real 3D scene, low quality of the holographic reconstructed image, and incorrect defocus blur. The experimental results demonstrate the effectiveness of our holographic camera in the acquisition of focal plane information and hologram calculation of the real 3D scene. The proposed holographic camera opens up a new way for the application of holography in fields such as 3D display, light field modulation, and 3D measurement. |
| format | Article |
| id | doaj-art-00053cf0b5344b739da62562ccad0f52 |
| institution | Kabale University |
| issn | 2047-7538 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Nature Publishing Group |
| record_format | Article |
| series | Light: Science & Applications |
| spelling | doaj-art-00053cf0b5344b739da62562ccad0f522025-02-09T12:54:58ZengNature Publishing GroupLight: Science & Applications2047-75382025-02-0114111110.1038/s41377-024-01730-9Real-time holographic camera for obtaining real 3D scene hologramZhao-Song Li0Chao Liu1Xiao-Wei Li2Yi Zheng3Qian Huang4Yi-Wei Zheng5Ye-Hao Hou6Chen-Liang Chang7Da-Wei Zhang8Song-Lin Zhuang9Di Wang10Qiong-Hua Wang11School of Instrumentation and Optoelectronic Engineering, Beihang UniversitySchool of Instrumentation and Optoelectronic Engineering, Beihang UniversitySchool of Instrumentation and Optoelectronic Engineering, Beihang UniversitySchool of Instrumentation and Optoelectronic Engineering, Beihang UniversitySchool of Instrumentation and Optoelectronic Engineering, Beihang UniversitySchool of Instrumentation and Optoelectronic Engineering, Beihang UniversitySchool of Instrumentation and Optoelectronic Engineering, Beihang UniversitySchool of Optical-Electrical and Computer Engineering, University of Shanghai for Science and TechnologySchool of Optical-Electrical and Computer Engineering, University of Shanghai for Science and TechnologySchool of Optical-Electrical and Computer Engineering, University of Shanghai for Science and TechnologySchool of Instrumentation and Optoelectronic Engineering, Beihang UniversitySchool of Instrumentation and Optoelectronic Engineering, Beihang UniversityAbstract As a frontier technology, holography has important research values in fields such as bio-micrographic imaging, light field modulation and data storage. However, the real-time acquisition of 3D scenes and high-fidelity reconstruction technology has not yet made a breakthrough, which has seriously hindered the development of holography. Here, a novel holographic camera is proposed to solve the above inherent problems completely. The proposed holographic camera consists of the acquisition end and the calculation end. At the acquisition end of the holographic camera, specially configured liquid materials and liquid lens structure based on voice-coil motor-driving are used to produce the liquid camera, so that the liquid camera can quickly capture the focus stack of the real 3D scene within 15 ms. At the calculation end, a new structured focus stack network (FS-Net) is designed for hologram calculation. After training the FS-Net with the focus stack renderer and learnable Zernike phase, it enables hologram calculation within 13 ms. As the first device to achieve real-time incoherent acquisition and high-fidelity holographic reconstruction of a real 3D scene, our proposed holographic camera breaks technical bottlenecks of difficulty in acquiring the real 3D scene, low quality of the holographic reconstructed image, and incorrect defocus blur. The experimental results demonstrate the effectiveness of our holographic camera in the acquisition of focal plane information and hologram calculation of the real 3D scene. The proposed holographic camera opens up a new way for the application of holography in fields such as 3D display, light field modulation, and 3D measurement.https://doi.org/10.1038/s41377-024-01730-9 |
| spellingShingle | Zhao-Song Li Chao Liu Xiao-Wei Li Yi Zheng Qian Huang Yi-Wei Zheng Ye-Hao Hou Chen-Liang Chang Da-Wei Zhang Song-Lin Zhuang Di Wang Qiong-Hua Wang Real-time holographic camera for obtaining real 3D scene hologram Light: Science & Applications |
| title | Real-time holographic camera for obtaining real 3D scene hologram |
| title_full | Real-time holographic camera for obtaining real 3D scene hologram |
| title_fullStr | Real-time holographic camera for obtaining real 3D scene hologram |
| title_full_unstemmed | Real-time holographic camera for obtaining real 3D scene hologram |
| title_short | Real-time holographic camera for obtaining real 3D scene hologram |
| title_sort | real time holographic camera for obtaining real 3d scene hologram |
| url | https://doi.org/10.1038/s41377-024-01730-9 |
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