Presentation Information
[TuP-C-9]Numerical Investigation of Bending Tolerance of Multimode Optical Fiber Imaging with Variational Autoencoder
○Hana Fowler1, Masatoshi Bunsen2, Taiki Otani1 (1. Graduate School of Engineering, Fukuoka University (Japan), 2. Department of Electronics Engineering and Computer Science, Fukuoka University (Japan))
Keywords:
Other novel fibers,fiber devices and applications,Emerging non-telecom applications including sensing and imaging,Artificial intelligence and machine learning for optical transmission systems and subsystems
We propose a Variational Autoencoder-based image reconstruction through a multimode optical fiber. Simulations under bending conditions achieved 96% accuracy, demonstrating the feasibility even with fiber deformation. This contributes to robust multimode optical fiber imaging.
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