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  4. Reconstruction of scattered images with neural networks
 
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2021
Conference Paper
Title

Reconstruction of scattered images with neural networks

Abstract
The optical transfer function of different scattering media was approximated with a Neural Network. The chosen U-Architecture allowed for reconstructing the initial images. It was found that pretrained networks could be adapted for similar tasks.
Author(s)
Schuschies, Antje
Fraunhofer-Institut für Werkstoff- und Strahltechnik IWS  
Kabardiadi-Virkovski, Alexander  
Fraunhofer-Institut für Werkstoff- und Strahltechnik IWS  
Mitiaev, Aleksandr
Fraunhofer-Institut für Werkstoff- und Strahltechnik IWS  
Baselt, Tobias  
Fraunhofer-Institut für Werkstoff- und Strahltechnik IWS  
Hartmann, Peter  
Fraunhofer-Institut für Werkstoff- und Strahltechnik IWS  
Mainwork
Emerging Technologies for Cell and Tissue Characterization  
Conference
European Conferences on Biomedical Optics (ECBO) 2021  
DOI
10.1117/12.2615653
Language
English
Fraunhofer-Institut für Werkstoff- und Strahltechnik IWS  
Keyword(s)
  • neural network

  • liquid

  • optical transfer function

  • Mie scattering

  • Scattering media

  • scattering

  • data acquisition

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