Learned holographic light transport. (arXiv:2108.08253v3 [physics.optics] UPDATED)

Computer-Generated Holography (CGH) algorithms often fall short in matching
simulations with results from a physical holographic display. Our work
addresses this mismatch by learning the holographic light transport in
holographic displays. Using a camera and a holographic display, we capture the
image reconstructions of optimized holograms that rely on ideal simulations to
generate a dataset. Inspired by the ideal simulations, we learn a
complex-valued convolution kernel that can propagate given holograms to
captured photographs in our dataset. Our method can …

arxiv light optics physics transport