Numerical Demonstration of Unsupervised-Learning-Based Noise Reduction in Two-Dimensional Rayleigh Imaging

Numerical Demonstration of Unsupervised-Learning-Based Noise Reduction in Two-Dimensional Rayleigh Imaging

The conventional denoising method in Rayleigh imaging in a general sense requires an additional hardware investment and the use of the underlying physics. This work demonstrates an alternative image denoising reconstruction model based on unsupervised learning that aims to remove Mie scattering and...

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Bibliographic Details
Main Authors: Minnan Cai, Hua Jin, Beichen Lin, Wenjiang Xu, Yancheng You
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Energies
Subjects:
unsupervised learning
noise reduction
Rayleigh imaging
Online Access:https://www.mdpi.com/1996-1073/15/15/5747

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