Abstract
Convolutional neural network based, fast and accurate local fringe density map estimation by DeepDensity significantly enhances full-field optical measurement techniques, e.g., holographic microscopy. The numerical capabilities of the proposed algorithmic solution in the case of the presence of noise were studied.
© 2021 The Author(s)
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