Abstract
A phase retrieval algorithm for optofluidic projectors based on neural networks and trust-region optimization is demonstrated. The algorithm determines the necessary phase shift resulting from the deformed fluidic surface for a given desired intensity pattern.
© 2022 The Author(s)
PDF Article | Presentation VideoMore Like This
Xiaofeng Wu, Sibi Chakravarthy Shanmuagvel, and Yunhui Zhu
CM2A.3 Computational Optical Sensing and Imaging (COSI) 2022
Nouf A. Alanazi and Partha P. Banerjee
Th3A.1 Digital Holography and Three-Dimensional Imaging (DH) 2022
Yue Zhu, Long Zhu, Andong Wang, Bing Lu, Mingliang Deng, and Xiaojin Guo
STh4N.6 CLEO: Science and Innovations (CLEO:S&I) 2022