Self-Denoising of BOTDA Using Deep Convolutional Neural Networks

Self-Denoising of BOTDA Using Deep Convolutional Neural Networks

We propose the self-denoising network (SDNet), a self-supervised network based on a convolutional neural network (CNN), for Brillouin trace denoising. With the target noisy image as the only input, the proposed method has no hardware restriction, requirement for image priors, or assumption for noise...

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Bibliographic Details
Main Authors: Di Qi, Chun-Kit Chan, Xun Guan
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Photonics Journal
Subjects:
BOTDA
single-image denoising
self-supervised learning
SNR enhancement
partial convolutional neural network (CNN)
Online Access:https://ieeexplore.ieee.org/document/10972307/
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