An Anti-Noise-Designed Residual Phase Unwrapping Neural Network for Digital Speckle Pattern Interferometry

An Anti-Noise-Designed Residual Phase Unwrapping Neural Network for Digital Speckle Pattern Interferometry

DSPI (Digital Speckle Pattern Interferometry) is a non-destructive optical measurement technique that obtains phase information of an object through phase unwrapping. Traditional phase unwrapping algorithms depend on the quality of the images, which demands preprocessing such as filtering and denois...

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Bibliographic Details
Main Authors: Biao Wang, Xiaoling Cao, Meiling Lan, Chang Wu, Yonghong Wang
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Optics
Subjects:
DSPI
phase unwrapping map
neural network
loss function
image stitching
Online Access:https://www.mdpi.com/2673-3269/5/1/3

Internet

https://www.mdpi.com/2673-3269/5/1/3

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