Li Zhao-Song, Liu Chao, Li Xiao-Wei, Zheng Yi, Huang Qian, Zheng Yi-Wei, Hou Ye-Hao, Chang Chen-Liang, Zhang Da-Wei, Zhuang Song-Lin, Wang Di, Wang Qiong-Hua
School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing, 100191, China.
School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China.
Light Sci Appl. 2025 Feb 8;14(1):74. doi: 10.1038/s41377-024-01730-9.
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.
作为一项前沿技术，全息术在生物显微成像、光场调制和数据存储等领域具有重要的研究价值。然而，三维场景的实时采集和高保真重建技术尚未取得突破，这严重阻碍了全息术的发展。在此，提出了一种新型全息相机以彻底解决上述固有问题。所提出的全息相机由采集端和计算端组成。在全息相机的采集端，采用基于音圈电机驱动的特殊配置的液体材料和液体透镜结构来制作液体相机，使得液体相机能够在15毫秒内快速捕获真实三维场景的聚焦堆栈。在计算端，设计了一种用于全息图计算的新型结构化聚焦堆栈网络（FS-Net）。在用聚焦堆栈渲染器和可学习的泽尼克相位对FS-Net进行训练后，它能够在13毫秒内完成全息图计算。作为首个实现真实三维场景实时非相干采集和高保真全息重建的设备，我们提出的全息相机突破了真实三维场景采集困难、全息重建图像质量低以及离焦模糊不正确等技术瓶颈。实验结果证明了我们的全息相机在真实三维场景的焦平面信息采集和全息图计算方面的有效性。所提出的全息相机为全息术在三维显示、光场调制和三维测量等领域的应用开辟了一条新途径。
