2-fold resolution increase and all-depth linearization using a neural network
Loading...
Date
Journal Title
Journal ISSN
Volume Title
Publisher
SPIE
Abstract
A neural network is proposed as a much better performing alternative to Fourier transformation. It processes raw OCT spectra into A-scans with twice better nominal axial resolution which remains intact at all depths even for an uncalibrated
spectrometer and uncompensated chromatic dispersion.
Description
Keywords
Neural networks, Image processing, Optical coherence tomography, Spectral calibration, Image resolution, Spectroscopy, Spectral resolution
Citation
Proc. of SPIE Vol. 12632
Collections
Endorsement
Review
Supplemented By
Referenced By
Creative Commons license
Except where otherwised noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 International