# Transmission of natural scene images through a multimode fibre

arXiv: https://arxiv.org/abs/1904.11985 · HTML: https://mlsanity.com/paper/1904.11985/

## Key facts

- Cited by 6 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 26 Apr 2019.

## Built on by (most cited first, 6 of 6)

- [Speckle-based optical cryptosystem and its application for human face recognition via deep learning](https://mlsanity.com/paper/2201.11844/) (2022)
- [Bessel Equivariant Networks for Inversion of Transmission Effects in Multi-Mode Optical Fibres](https://mlsanity.com/paper/2207.12849/) (2022)
- [Efficient data transport over multimode light-pipes with Megapixel images using differentiable ray tracing and Machine-learning](https://mlsanity.com/paper/2301.06496/) (2023)
- [Self-attention-based non-linear basis transformations for compact latent space modelling of dynamic optical fibre transmission matrices](https://mlsanity.com/paper/2406.07775/) (2024)
- [Mismatch reconstruction theory for unknown measurement matrix in imaging through multimode fiber bending](https://mlsanity.com/paper/2510.21787/) (2025)
- [HistoSpeckle-Net: Mutual Information-Guided Deep Learning for high-fidelity reconstruction of complex OrganAMNIST images via perturbed Multimode Fibers](https://mlsanity.com/paper/2511.20245/) (2025)

## Abstract (arXiv)

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.