New method of multispectral image post-processing based on an instrument model for high contrast imaging systems : Application to exoplanet detection
type: Dataset
description: This research focuses on high contrast multispectral imaging in the view of directly detecting and characterizing Exoplanets. In this framework, the development of innovative image post-processing methods is essential in order to eliminate the quasi-static speckles in the final image, which remain the main limitation for high contrast. Even though the residual instrumental aberrations are responsible for these speckles, no post-processing method currently uses a model of coronagraphic imaging, which takes these aberrations as parameters. The research approach adopted includes the development of a method, in a Bayesian Framework, based on an analytical coronagraphic imaging model and an inversion algorithm, to estimate jointly the instrumental aberrations and the object of interest, i.e. the exoplanets, in order to separate properly these two contributions. The instrumental aberration estimation directly from focal plane images, also named phase retrieval, is the most difficult step because the model of on-axis instrumental response, of which these aberrations depend on, is highly non-linear. The development and the study of an approximate model of coronagraphic imaging thus proved very useful to understand the problem at hand and inspired me some minimization strategies. I finally tested my method and estimated its performances in terms of robustness and exoplanets detection. For this, I applied it to simulated images and I studied the effect of the different parameters of the imaging model I used. The findings from this research provide evidence that this method, in association with an optimization scheme based on a good knowledge of the problem at hand, can operate in a relatively robust way, despite the difficulties of the phase retrieval step. In particular, it allows the detection of exoplanets in the case of simulated images with a detection level compliant with the goal of the SPHERE instrument. The next steps will be to verify the efficiency of this new meth…
identifier: NNT: 2012GRENY100
issued: 2026-05-10T09:49:16.856665
language: fr
modified: 2026-05-10T09:49:16.856669
contact point: Organization
  fn: CCSD
keyword: deconvolution-spectrale
keyword: detection
keyword: exoplanetes
keyword: exoplanets
keyword: high-dynamic-imaging
keyword: imagerie-haute-dynamique
keyword: imagerie-multispectrale
keyword: infoeu-reposemanticsdoctoralthesis
keyword: inverse-problems
keyword: multispectral-imaging
keyword: pectral-deconvolution
keyword: physcondcm-genphysics-physicscondensed-matter-cond-matother-cond-matother
keyword: problemes-inverses
keyword: theses
landing page: https://theses.hal.science/tel-00843202

New method of multispectral image post-processing based on an instrument model for high contrast imaging systems : Application to exoplanet detection
type: Distribution
format: HTML
issued: 2026-05-10T09:49:16.861098
modified: 2026-05-10T09:49:16.840441
access URL: https://theses.hal.science/tel-00843202

test_moissonnage_selune
type: Agent