All-optical image classification through unknown random diffusers using a single-pixel diffractive network. (arXiv:2208.03968v1 [physics.optics])

Classification of an object behind a random and unknown scattering medium
sets a challenging task for computational imaging and machine vision fields.
Recent deep learning-based approaches demonstrated the classification of
objects using diffuser-distorted patterns collected by an image sensor. These
methods demand relatively large-scale computing using deep neural networks
running on digital computers. Here, we present an all-optical processor to
directly classify unknown objects through unknown, random phase diffusers using
broadband illumination detected with a single pixel. A set of …

arxiv classification diffusers image network optics physics pixel random