Frédéric Jolivet

TL;DR: An inverse problem formulation for DH pixel super-resolution and an algorithm that alternates registration and reconstruction steps is proposed that improves both the shift estimation and reconstruction quality and is used to reconstruct synthetic and experimental holograms of sparse 2D objects.

TL;DR: This work proposes a regularized reconstruction method that includes several physically-grounded constraints such as bounds on transmittance values, maximum/minimum phase, spatial smoothness or the absence of any object in parts of the field of view and presents the promising results of reconstructions from experimental in-line holograms obtained in two different applications.

TL;DR: This work proposes to use a parametric inverse problem approach to achieve self-calibration of a digital color holographic setup and shows that taking the crosstalk phenomenon into account in the reconstruction step improves its accuracy.

TL;DR: Ce cadre general a permis de proposer differentes approches adaptees aux problematiques posees par cette technique d'imagerie non conventionnelle : the super­-resolution, the reconstruction hors du champ du capteur, l'holographie «couleur» and enfin the reconstruction quantitative d'objets de phase.

TL;DR: A one-step method combining, in an alternating minimization scheme, a multi-material decomposition in the projection domain and a regularized tomographic reconstruction introducing the spatial priors in the image domain is presented.