Transmission of natural scene images through a multimode fibre
Transmission of natural scene images through a multimode fibre
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DOI：
10.1038/s41467-019-10057-8
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发表时间：
2019-05-02
影响因子：
16.6
通讯作者：
Faccio, Daniele
中科院分区：
文献类型：
--
作者：
Caramazza, Piergiorgio;Moran, Oisin;Faccio, Daniele
通过多模光纤传输图像仍然是一个突出的挑战，其应用范围从光通信到神经成像。最先进的方法包括测量和控制通过光纤传输的整个复杂场，或者最近的人工神经网络的训练，然而，通常仅限于与训练数据集属于同一类的图像类。在这里，我们实现了一种统计重建纤维的逆变换矩阵的方法。我们演示了高帧率、高分辨率和全彩自然场景的成像，从而展示了通用成像能力。长光纤上的实时成像为安全通信系统、新型远程成像设备、量子态控制处理和内窥镜检查等开发开辟了新的途径。
The optical transport of images through a multimode fibre remains an outstanding challenge with applications ranging from optical communications to neuro-imaging. State of the art approaches either involve measurement and control of the full complex field transmitted through the fibre or, more recently, training of artificial neural networks that however, are typically limited to image classes belong to the same class as the training data set. Here we implement a method that statistically reconstructs the inverse transformation matrix for the fibre. We demonstrate imaging at high frame rates, high resolutions and in full colour of natural scenes, thus demonstrating general-purpose imaging capability. Real-time imaging over long fibre lengths opens alternative routes to exploitation for example for secure communication systems, novel remote imaging devices, quantum state control processing and endoscopy.