Digital Hologram Processing in On-Axis Holography

Corinne Fournier 1 Loïc Denis 1 Mozhdeh Seifi 2 Thierry Fournel 3
1 LHC - Laboratoire Hubert Curien [Saint Etienne]
2 Technicolor R & I [Cesson Sévigné]
3 Laboratoire Hubert Curien / Eris
LHC - Laboratoire Hubert Curien [Saint Etienne]
Abstract : In the context of fast and 3D quantitative microscopy, on-axis digital holography has a significant potential. This chapter focuses on the numerical reconstruction of digital holograms. After a presentation of classical back-propagation methods, we introduce the general framework of inverse problems that includes recent compressive sensing methods. Inverse problems approaches solve two essential issues in digital holography: the improvement of reconstruction accuracy and the extension of the studied field beyond the physical limit of the sensor size. In addition, the achievable resolution can be derived from the hologram formation model using Cramer-Rao lower bounds. As a drawback of reconstruction methods based on inverse problems is their computational complexity, we suggest two ways to significantly reduce the processing time of holograms.
Mots-clés : Inverse problems Singular Value Decomposition Pattern recognition Digital holography Image reconstruction techniques
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Book sections
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https://hal-ujm.archives-ouvertes.fr/ujm-01004429
Contributor : Corinne Fournier <>
Submitted on : Wednesday, June 11, 2014 - 1:35:21 PM
Last modification on : Wednesday, July 25, 2018 - 2:05:32 PM

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UNIV-ST-ETIENNE | IOGS | PARISTECH | ERIS | LAHC

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Corinne Fournier, Loïc Denis, Mozhdeh Seifi, Thierry Fournel. Digital Hologram Processing in On-Axis Holography. Bahram Javidi, Enrique Tajahuerce. Multi-dimensional Imaging, John Wiley & Sons, pp.51-73, 2014, ⟨10.1002/9781118705766.ch3⟩. ⟨ujm-01004429⟩

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