Integration of Programmable Diffraction with Digital Neural Networks

arXiv:2406.10688v1 Announce Type: cross
Abstract: Optical imaging and sensing systems based on diffractive elements have seen massive advances over the last several decades. Earlier generations of diffractive optical processors were, in general, designed to deliver information to an independent system that was separately optimized, primarily driven by human vision or perception. With the recent advances in deep learning and digital neural networks, there have been efforts to establish diffractive processors that are jointly optimized with digital neural networks serving as …

abstract advances arxiv cs.lg cs.ne digital eess.iv elements general human imaging independent information integration massive networks neural networks optical perception physics.app-ph physics.optics processors sensing systems type vision