Single-shot image retrieval through a multimode fiber using a genetic algorithm

TL;DR

This paper introduces a genetic algorithm-based method for retrieving images transmitted through a multimode fiber without requiring a reference, by optimizing input masks to produce speckle patterns similar to the original images.

Contribution

It presents a novel reference-less image retrieval technique using a genetic algorithm to optimize input masks based on measured transmission matrices.

Findings

Effective retrieval of images through multimode fibers demonstrated.

High correlation between experimental and calculated speckle patterns achieved.

Method enables image reconstruction without direct reference signals.

Abstract

In this letter, we present a genetic algorithm-based approach for image retrieval through a multimode fiber in a reference-less system. Due to mode interference, when an image is illuminated at one side of a multimode fiber, the transmitted light forms a noise-like speckle pattern at the other end. With the use of a prior-measured transmission matrix of the fiber, a speckle pattern is calculated using a random input mask. By optimizing the input mask to achieve a high correlation coefficient of experimental and calculated patterns, the input mask is optimized into an image with high similarity to the original image.