Axial super-resolution for optical coherence tomography with the iterative adaptive approach
Jos de Wit (TU Delft - ImPhys/Computational Imaging)
Kostas Angelopoulos (University of Peloponnese, Tripolis)
Jeroen Kalkman (TU Delft - ImPhys/Computational Imaging)
George Othon Glentis (University of Peloponnese, Tripolis)
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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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