End-to-End Optimization of Metasurfaces for Imaging with Compressed Sensing

End-to-End Optimization of Metasurfaces for Imaging with Compressed Sensing

We present a framework for the end-to-end optimization of metasurface imaging systems that reconstruct targets using compressed sensing, a technique for solving underdetermined imaging problems when the target object exhibits sparsity (e.g., the object can be described by a small number of nonzero v...

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Bibliographic Details
Main Authors:	Arya, Gaurav, Li, William F., Roques-Carmes, Charles, Soljačić, Marin, Johnson, Steven G., Lin, Zin
Format:	Article
Published:	American Chemical Society 2024
Online Access:	https://hdl.handle.net/1721.1/155313

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