当前位置:科学网首页 > 小柯机器人 >详情
具有观察者位移不变性的空间非相干驱动全息图光学重建
作者:小柯机器人 发布时间:2025/5/14 10:41:18


近日,韩国嘉泉大学Daeho Yang团队研究了具有观察者位移不变性的空间非相干驱动全息图光学重建。2025年5月12日,《光:科学与应用》杂志发表了这一成果。

相干保持了波场之间的相位一致性,实现了全息术中的精确记录和重建。尽管计算光学的最新进展通过计算检索信息实现了使用非相干光的全息数据采集,但光学重建仍然需要部分相干光源。研究组展示了一个利用非相干重建三维分布的全息图。通过将非相干光分解为无穷小相干光并计算其传播,非相干和被优化为类似于所需的三维场景,而单个相干光重建的强度完全不同。 

非相干性能够提供高图像质量和宽眼动范围,重建光强在瞳孔位移下保持平移不变性,从而实现眼动范围千倍级的扩展。研究组通过概念验证实验证实了位移不变性,并演示了使用神经网络实时合成非相干全息图,显著降低了计算成本。该方法可以激发使用非相干光的光子学的新方法,并在全息显示器中得到实际应用。

附:英文全文

Title: Spatial incoherence-driven optical reconstruction of holograms with observer shift-invariance

Author: Sohn, Yeo Ju, Yang, Daeho

Issue&Volume: 2025-05-12

Abstract: Coherence preserves phase consistency between wavefields, enabling accurate recording and reconstruction in holography. Although recent advances in computational optics have realized holographic data acquisition using incoherent light by computationally retrieving information, optical reconstruction still requires partially coherent light sources. We demonstrate a hologram that reconstructs 3-dimensional distribution utilizing incoherence. By decomposing incoherent light into infinitesimal coherent lights and calculating their propagations, the incoherent sum is optimized to resemble the desired 3-dimensional scene, whereas individual coherent lights reconstruct completely different intensities. Incoherence provides high image quality and a wide eyebox, with the reconstructed intensity remaining shift-invariant under pupil displacement, allowing a 1000-fold expansion of the eyebox. We confirm the shift-invariance through a proof-of-concept experiment and demonstrate real-time synthesis of incoherent holograms using a neural network, significantly reducing computational costs. Our method could inspire new approaches in photonics using incoherent light and be practically adopted in holographic displays.

DOI: 10.1038/s41377-025-01823-z

Source: https://www.nature.com/articles/s41377-025-01823-z

期刊信息

Light: Science & Applications《光:科学与应用》,创刊于2012年。隶属于施普林格·自然出版集团,最新IF:19.4

官方网址:https://www.nature.com/lsa/
投稿链接:https://mts-lsa.nature.com/cgi-bin/main.plex