Équipe IMAGeS : Images, Modélisation, Apprentissage, Géométrie et Statistique

Séminaire du 26/06/2018, 10h00

De Équipe IMAGeS : Images, Modélisation, Apprentissage, Géométrie et Statistique
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mardi 26 juin 2018, 10h00

COMCI: A COnstrained Method for Coherent Imaging

Conférenciers : Férréol Soulez (CRAL)

Due to the impossibility to record the phase of visible light, coherent imaging involves intensity only measurements (with or without a reference wave). Thus, for image reconstruction in coherent imaging, we have to face two problems:

  • the (non-linear) phase retrieval problem to recover the phase of the light in the detector plane,
  • the (possibly non-linear) reconstruction problem to estimate the wavefront or the (complex) refractive index of the studied sample.

In addition, important numerical issues appear in the propagation kernel discretization

This talk will present COMCI, a unified framework to jointly solves these two problems. It uses a constrained formulation that is solved by the mean of an alternating direction of multiplier method (ADMM). After an overview of this framework and a discussion about discretization.

I will present some applications that seems very different at first sight: lensless microscopy, space telescope tomography and temperature mapping of stellar surroundings in optical interferometry

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