Deep learning-based super-resolution in coherent imaging systems
Sign Up to like & getrecommendations! Published in 2019 at "Scientific Reports"
DOI: 10.1038/s41598-019-40554-1
Abstract: We present a deep learning framework based on a generative adversarial network (GAN) to perform super-resolution in coherent imaging systems. We demonstrate that this framework can enhance the resolution of both pixel size-limited and diffraction-limited… read more here.
Keywords: resolution; imaging systems; super resolution; deep learning ... See more keywords
Towards attosecond imaging at the nanoscale using broadband holography-assisted coherent imaging in the extreme ultraviolet
Sign Up to like & getrecommendations! Published in 2021 at "Communications Physics"
DOI: 10.1038/s42005-021-00658-5
Abstract: Nanoscale coherent imaging has emerged as an indispensable modality, allowing to surpass the resolution limit given by classical imaging optics. At the same time, attosecond science has experienced enormous progress and has revealed the ultrafast… read more here.
Keywords: resolution; coherent imaging; towards attosecond; broadband holography ... See more keywords
Displacement-agnostic coherent imaging through scatter with an interpretable deep neural network.
Sign Up to like & getrecommendations! Published in 2021 at "Optics express"
DOI: 10.1364/oe.411291
Abstract: Coherent imaging through scatter is a challenging task. Both model-based and data-driven approaches have been explored to solve the inverse scattering problem. In our previous work, we have shown that a deep learning approach can… read more here.
Keywords: deep neural; imaging scatter; interpretable deep; neural network ... See more keywords