T
Thierry Fournel
Researcher at Jean Monnet University
Publications - 109
Citations - 994
Thierry Fournel is an academic researcher from Jean Monnet University. The author has contributed to research in topics: Holography & Digital holography. The author has an hindex of 14, co-authored 104 publications receiving 905 citations. Previous affiliations of Thierry Fournel include University of Lyon & Centre national de la recherche scientifique.
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Mesure tridimensionnelle de champs cinématiques par imagerie volumique pour l'analyse des matériaux et des structures
Michel Bornert,Jean-Marc Chaix,Pascal Doumalin,Jean-Christophe Dupré,Thierry Fournel,Dominique Jeulin,Eric Maire,Maxime Moreaud,Hervé Moulinec +8 more
TL;DR: In this article, surface digital image correlation techniques are extended to the analysis of volume data obtained from X-ray computed tomography with micrometric resolution or serial reconstruction obtained under plane laser illumination for transparent materials.
Proceedings ArticleDOI
Twin-image noise reduction by phase retrieval in in-line digital holography
TL;DR: Methods to improve numerically the reconstructed images by twin-image reduction are described, which are of great importance in in-line holography where spatial elimination of the twin- image cannot be carried out as in off-axis holographY.
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Reversible and Irreversible Laser Microinscription on Silver‐Containing Mesoporous Titania Films
N. Crespo-Monteiro,Nathalie Destouches,Laurence Bois,Fernand Chassagneux,Stéphanie Reynaud,Thierry Fournel +5 more
TL;DR: Silver species adsorbed on colloidal titania have been known for a long time to exhibit photochromism, which reversibly change color in response to light exposure and has been reported recently on nanoporous titania loaded with silver nanoparticles.
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Numerical suppression of the twin image in in-line holography of a volume of micro-objects
TL;DR: In this article, a unified description of existing digital suppression methods is given in the light of deconvolution techniques, and an iterative algorithm is proposed to enhance the reconstructed images from a digital hologram of small objects.
Journal ArticleDOI
Direct extraction of the mean particle size from a digital hologram
TL;DR: A new method to determine the rough size of particles in an in-line hologram is described, which relies on a property that is specific to interference patterns in Fresnel holograms: self-correlation of a hologram provides access to size information.