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Article Dans Une Revue IEEE Transactions on Computational Imaging Année : 2018

On the super-resolution capacity of imagers using unknown speckle illuminations

Jérôme Idier
Simon Labouesse
  • Fonction : Auteur
Marc Allain
Sébastien Bourguignon
Anne Sentenac
  • Fonction : Auteur
  • PersonId : 836364

Résumé

Speckle-based imaging consists of forming a super-resolved reconstruction of an unknown sample from low-resolution images obtained under random inhomogeneous illuminations (speckles). In a blind context, where the illuminations are unknown, we study the intrinsic capacity of speckle-based imagers to recover spatial frequencies outside the frequency support of the data, with minimal assumptions about the sample. We demonstrate that, under physically realistic conditions, the covariance of the data has a super-resolution power corresponding to the squared magnitude of the imager point spread function. This theoretical result is important for many practical imaging systems such as acoustic and electromagnetic tomographs, fluorescence and photoacoustic microscopes, or synthetic aperture radar imaging. A numerical validation is presented in the case of fluorescence microscopy.
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Dates et versions

hal-01652762 , version 1 (13-03-2024)

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Jérôme Idier, Simon Labouesse, Marc Allain, Penghuan Liu, Sébastien Bourguignon, et al.. On the super-resolution capacity of imagers using unknown speckle illuminations. IEEE Transactions on Computational Imaging, 2018, 4 (1), pp.87 - 98. ⟨10.1109/TCI.2017.2771729⟩. ⟨hal-01652762⟩
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