Phase unwrapping with the convolutional neural network
- 10 October 2020
- conference paper
- conference paper
- Published by SPIE-Intl Soc Optical Eng in Holography, Diffractive Optics, and Applications X
Abstract
No abstract availableThis publication has 11 references indexed in Scilit:
- IEEE Transactions on Microwave Theory and TechniquesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2023
- Multi-image holographic encryption based on phase recovery algorithm and ghost imagingApplied Physics B Laser and Optics, 2020
- Temporal phase unwrapping using deep learningScientific Reports, 2019
- Deep learning-based digital in-line holographic microscopy for high resolution with extended field of viewOptics & Laser Technology, 2018
- Fringe pattern denoising based on deep learningOptics Communications, 2018
- Fast phase retrieval in off-axis digital holographic microscopy through deep learningOptics Express, 2018
- Extended depth-of-field in holographic imaging using deep-learning-based autofocusing and phase recoveryOptica, 2018
- Phase recovery and holographic image reconstruction using deep learning in neural networksLight: Science & Applications, 2017
- Fourier fringe analysis: the two-dimensional phase unwrapping problemApplied Optics, 1991
- Satellite radar interferometry: Two‐dimensional phase unwrappingRadio Science, 1988