Advanced dynamic computer-generated holography for high-end holographic visualization

Traditional display devices can only show planar images, even though the world around us is threedimensional (3D). Since our visual system can perceive depth, its ability to understand the
complexity of 3D objects and environments will be limited to traditional displays. That is why multiple
3D display technologies have been devised targeting to solve this limitation. Examples include
stereoscopic displays, light-field displays, and volumetric displays. However, these systems can only
partially account for the cues of the human visual system, lowering the quality of experience and
even causing discomfort after prolonged usage. Holographic display technology does not suffer these
shortcomings, making it the ultimate display technology.
These displays must be fed a digital interference pattern encoding the 3D scene. This can be
achieved with Computer Generated Holography (CGH), i.e., algorithms that simulate numerical
diffraction to compute digital holograms. However, CGH faces many computational challenges: (1)
every 3D scene point can affect every pixel of the hologram due to the nature of diffraction, (2) highend holographic displays can reach resolutions of 100 Gigapixel and (3) the display has to be
updated many times per second for dynamic scenes.
This research proposal aims to tackle this challenge by developing dynamic CGH techniques to
generate high-end holographic video content efficiently