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Inverse-problem-based algorithm for sparse reconstruction of Terahertz off-axis holograms
Kirkove, Murielle; Zhao, Yuchen; Georges, Marc
2021In Imaging and Applied Optics Congress
 

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Keywords :
Image processing; Image reconstruction; Inverse problems; Wavelets; Digital holography; Terahertz
Abstract :
[en] We propose a new inverse-problem-based reconstruction technique to off-axis THz digital holography. The proposed method takes into account the non-uniformity of the reference wavefront and reconstructs the object field as well as the amplitude of the reference field.
Research Center/Unit :
CSL - Centre Spatial de Liège - ULiège
STAR - Space sciences, Technologies and Astrophysics Research - ULiège
Disciplines :
Mathematics
Author, co-author :
Kirkove, Murielle  ;  Université de Liège - ULiège > CSL (Centre Spatial de Liège)
Zhao, Yuchen ;  Université de Liège - ULiège > CSL (Centre Spatial de Liège)
Georges, Marc ;  Université de Liège - ULiège > CSL (Centre Spatial de Liège)
Language :
English
Title :
Inverse-problem-based algorithm for sparse reconstruction of Terahertz off-axis holograms
Publication date :
19 July 2021
Event name :
Imaging and Applied Optics Congress
Event organizer :
Optical Society of America (OSA)
Event place :
Washington DC, United States
Event date :
from 19-07-2021 to 23-07-2021
Audience :
International
Main work title :
Imaging and Applied Optics Congress
Publisher :
Optica, United States
Pages :
DM1B.4
Name of the research project :
TERA4ALL
Funding text :
2014-2020 ERDF/Wallonia region ”En Mieux” program
Available on ORBi :
since 20 July 2021

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