Multimode fiber based greyscale image projector enabled by neural networks with high generalization ability

Jian Wang, Guangchao Zhong, Daixuan Wu, Sitong Huang, Zhi-Chao Luo & Yuecheng Shen
Multimode fibers (MMFs) are emerging as promising transmission media for delivering images. However, strong mode coupling inherent in MMFs induces difficulties in directly projecting two-dimensional images through MMFs. By training two subnetworks named Actor-net and Model-net synergetically, Ref. [1] alleviated this issue and demonstrated projecting images through MMFs with high fidelity. In this work, we make a step further by improving the generalization ability to greyscale images. The modified projector network contains three subnetworks, namely...
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