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Super-resolution in disordered media using neural networks

By Alexander Christie and others
We propose a methodology that exploits large and diverse data sets to accurately estimate the ambient medium's Green's functions in strongly scattering media. Given these estimates, obtained with and without the use of neural networks, excellent imaging results are achieved, with a resolution that is better than that of a... Show more
October 30, 2024
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Super-resolution in disordered media using neural networks
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