Fundamental Investigation of Performance Degradation of Multimode Optical Fiber Imaging with Variational Autoencoder against Fiber Bending

In multimode optical fiber imaging with variational autoencoder (VAE), deformation of the fiber after VAE training can significantly degrade image recovery performance. As a first step to solve this problem, we investigate the extent and process of this degradation for intentional fiber bending by optical experiments.

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Publication Details

Published
2025-06-29
DOI
https://doi.org/10.23919/oecc/psc62146.2025.11111381
Primary Topic
Advanced Fiber Optic Sensors
Type
article
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article

Fundamental Investigation of Performance Degradation of Multimode Optical Fiber Imaging with Variational Autoencoder against Fiber Bending

Masatoshi Bunsen, Tomohiro Otani, H. A. Fowler
Advanced Fiber Optic Sensors
article

Fundamental Investigation of Performance Degradation of Multimode Optical Fiber Imaging with Variational Autoencoder against Fiber Bending

Masatoshi Bunsen, Tomohiro Otani, H. A. Fowler
article en

Abstract

In multimode optical fiber imaging with variational autoencoder (VAE), deformation of the fiber after VAE training can significantly degrade image recovery performance. As a first step to solve this problem, we investigate the extent and process of this degradation for intentional fiber bending by optical experiments.

Fukuoka University (JP)
Openalex Percentile: Top 80%
Advanced Fiber Optic Sensors
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Fundamental Investigation of Performance Degradation of Multimode Optical Fiber Imaging with Variational Autoencoder against Fiber Bending — Masatoshi Bunsen, Tomohiro Otani, et al. · (2025) | TGRS Research Map | TGRS