Phys.org  August 29, 2023 Free-space optical information transfer through diffusive media is critical in many applications but remains challenging due to random, unknown perturbations in the optical path. Researchers at UCLA demonstrated an optical diffractive decoder with electronic encoding to accurately transfer the optical information of interest through unknown random phase diffusers along the optical path. The model comprised a convolutional neural network-based electronic encoder and successive passive diffractive layers that were jointly optimized. After their joint training using deep learning, their hybrid model could transfer optical information through unknown phase diffusers, demonstrating generalization to new random diffusers. The model […]