Abstract
Holography is considered to be the ultimate display technology since it can account for all human visual cues such as stereopsis and eye focusing. Aside from hardware constraints for building holographic displays, there are still many research challenges regarding holographic signal processing that need to be tackled. In this overview, we delineate the steps needed to realize an end-to-end chain from digital content acquisition to display, involving the efficient generation, representation, coding and quality assessment of digital holograms. We discuss the current state-of-the-art and what hurdles remain to be taken to pave the way towards realistic visualization of dynamic holographic content.
Highlights
Holography is a technique that can record and reconstruct the full wavefield of light
When generating synthetic holographic content by deploying Computer Generated Holography (CGH) techniques, algorithms are required that differ considerably from those needed for classical synthetic image rendering that are based on ray-space physics and a particle model for light transport
For more advanced and thorough quality assessments, one may take inspiration from quality assessment procedures used for light fields: multiple views and focal depths can be shown in succession in a video format to simulate scene perception from many different viewpoints [141]
Summary
Holography is a technique that can record and reconstruct the full wavefield of light. When generating synthetic holographic content by deploying Computer Generated Holography (CGH) techniques, algorithms are required that differ considerably from those needed for classical synthetic image rendering that are based on ray-space physics and a particle model for light transport. Holography adheres to a wavebased transport model of coherent light instead This overview paper focuses on the signal processing challenges needed for the realization of holographic video systems from source signal generation to display. Conventional transforms and representations perform suboptimally because they do not match the statistical properties of holographic signals Standard codecs such as JPEG and MPEG are solely designed for natural photography and video but operate poorly on holographic content; novel transforms and motion estimation & compensation techniques need to be integrated (see Section 5).
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