Fringe Pattern Denoising using U-Net based neural network

oleh: Crespo J. M., Moreno V., Rabuñal Juan Ramón, Pazos Alejandro, Canabal Carbia Monica

Format: Article
Diterbitkan: EDP Sciences 2020-01-01

Deskripsi

Fringe visibility and noise removal, are key success factors in interferometric techniques, where novel deep learning techniques can be applied. We test the use U-Net deep convolutional network applied to the obtained interference images, trained with an ad-hoc generated image dataset with complex fringe patterns, computed using high order Zernike polynomials.