Axial super-resolution for optical coherence tomography with the iterative adaptive approach
Conference Paper
(2021)
Authors
Jos de Wit (ImPhys/Computational Imaging)
Kostas Angelopoulos (University of Peloponnese, Tripolis)
Jeroen Kalkman (ImPhys/Computational Imaging)
George Othon Glentis (University of Peloponnese, Tripolis)
Research Group
ImPhys/Computational Imaging
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https://resolver.tudelft.nl/b933cb94-3d0c-450a-bced-e53aa775f023
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Publication Year
2021
Language
English
Research Group
ImPhys/Computational Imaging
ISBN (electronic)
9781557528209
Abstract
Spectral estimation can improve axial resolution for optical coherence tomography. Using a fast implementation of the non-parametric iterative adaptive approach, we significantly improve resolution and image quality in processing times below 2 s.
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