End-to-end metasurface inverse design for NIR computational imaging

Abstract

The remarkable ability of metasurfaces to manipulate wavefronts in a versatile manner, coupled with their compact and ultrathin configuration, has garnered significant interest. These characteristics make metasurfaces ideally suited for fulfilling the demands of compact computational imaging systems. In this research endeavor, we present a comprehensive metasurface inverse design model, which operates in an end-to-end method, within a joint optimization framework for computational imaging. To exemplify its efficacy, we demonstrate the application of this model using silicon meta-atoms, showcasing its potential for broadband near-infrared imaging. This work contributes to the advancement of computational imaging techniques, providing a promising avenue for future developments in the field.