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Hardware Acceleration of Computational Holography

Contribution To Book Anthology

Abstract 

Sparse CGH algorithms encode the wavefield in a certain transform space where the holographic signals to be computed are “sparse”, i.e., require a small number of coefficient updates to be accurate. This principle can be leveraged to achieve high-speed CGH needing only a fraction of the calculations that are used in conventional CGH. We detail several examples and focus on Phase-Added Stereograms (PAS) in this chapter. Thereafter, we elaborate on a cache-friendly data structure consisting of “lozenge” cells, which can speed up PAS CGH by another order of magnitude.

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