Deep learning-based super-resolution in coherent imaging systems

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 coherent imaging systems. The capabilities of...

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Detalles Bibliográficos
Autores principales: Liu, Tairan, de Haan, Kevin, Rivenson, Yair, Wei, Zhensong, Zeng, Xin, Zhang, Yibo, Ozcan, Aydogan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6408569/
https://www.ncbi.nlm.nih.gov/pubmed/30850721
http://dx.doi.org/10.1038/s41598-019-40554-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6408569/
https://www.ncbi.nlm.nih.gov/pubmed/30850721
http://dx.doi.org/10.1038/s41598-019-40554-1

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