Deep Learning-Based Wrapped Phase Denoising Method for Application in Digital Holographic Speckle Pattern Interferometry

Deep Learning-Based Wrapped Phase Denoising Method for Application in Digital Holographic Speckle Pattern Interferometry

This paper presents a new processing method for denoising interferograms obtained by digital holographic speckle pattern interferometry (DHSPI) to serve in the structural diagnosis of artworks. DHSPI is a non-destructive and non-contact imaging method that has been successfully applied to the struct...

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Bibliographic Details
Main Authors: Ketao Yan, Lin Chang, Michalis Andrianakis, Vivi Tornari, Yingjie Yu
Format: Article
Language:English
Published: MDPI AG 2020-06-01
Series:Applied Sciences
Subjects:
holographic interferometry
electronic speckle pattern interferometry
art conservation
wrapped phase
denoising
deep learning
Online Access:https://www.mdpi.com/2076-3417/10/11/4044

Internet

https://www.mdpi.com/2076-3417/10/11/4044

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