Towards optimal multimode fiber imaging by leveraging input polarization and deep learning
Deep learning techniques provide a plausible route towards achieving practical imaging
through multimode fibers. However, the results obtained by these methods are often …
through multimode fibers. However, the results obtained by these methods are often …
Towards optimal multimode fiber imaging by leveraging input polarization and conditional generative adversarial networks
J Maqbool, ST Hassan, MI Cheema - arXiv preprint arXiv:2310.17889, 2023 - arxiv.org
Deep learning techniques provide a plausible route towards achieving practical imaging
through multimode fibers. However, the results produced by these methods are often …
through multimode fibers. However, the results produced by these methods are often …
Seeing through multimode fibers with physics-assisted deep learning
H Gao, H Hu, Y Zhang, W Zhang, T Yan - Optics & Laser Technology, 2023 - Elsevier
High-fidelity image transmission through multimode fiber is critical for the biomedical
imaging and telecommunications industries. However, mode coupling and modal dispersion …
imaging and telecommunications industries. However, mode coupling and modal dispersion …
Imaging through multimode fibres with physical prior
C Zhang, Y Shi, Z Yao, X Sui, Q Cheng - arXiv preprint arXiv:2311.03062, 2023 - arxiv.org
Imaging through perturbed multimode fibres based on deep learning has been widely
researched. However, existing methods mainly use target-speckle pairs in different …
researched. However, existing methods mainly use target-speckle pairs in different …
Wavefront shaping and deep learning in fiber endoscopy
E Kakkava - 2020 - infoscience.epfl.ch
Fiber endoscopy plays an important role in the clinical diagnosis and treatment processes
involved in modern medicine. Thin fiber probes can relay information from confined places …
involved in modern medicine. Thin fiber probes can relay information from confined places …
Deep learning-based multimode fiber imaging in multispectral and multipolarimetric channels
R Zhu, H Feng, F Xu - Optics and Lasers in Engineering, 2023 - Elsevier
Multimode optical fiber (MMF) imaging is an emerging fiber imaging technology that has
been developed during the last decade. In this work, we demonstrate deep-learning-based …
been developed during the last decade. In this work, we demonstrate deep-learning-based …
Application of conditional generative adversarial networks toward time-efficient and high-fidelity imaging via multimode fibers
J Maqbool, ST Hassan… - AI and Optical Data …, 2024 - spiedigitallibrary.org
Several modes exist in multimode fibers due to their large core diameter. Due to this
property, they can transport images from one point to another. However, due to mode and …
property, they can transport images from one point to another. However, due to mode and …
Deep Learning-Based Image Reconstruction From Multimode Fiber: Comparative Evaluation of Various Approaches
M Mohammadzadeh - 2024 - search.proquest.com
This dissertation presents three distinct methodologies aimed at exploring pivotal aspects
within the domain of fiber optics and piezoelectric materials. The first approach offers a …
within the domain of fiber optics and piezoelectric materials. The first approach offers a …
Multimode optical fiber transmission with a deep learning network
Multimode fibers (MMFs) are an example of a highly scattering medium, which scramble the
coherent light propagating within them to produce seemingly random patterns. Thus, for …
coherent light propagating within them to produce seemingly random patterns. Thus, for …
Single-ended recovery of optical fiber transmission matrices using neural networks
Ultra-thin multimode optical fiber imaging promises next-generation medical endoscopes
reaching high image resolution for deep tissues. However, current technology suffers from …
reaching high image resolution for deep tissues. However, current technology suffers from …