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.
Blinder, D 2023, Sparse CGH and the Acceleration of Phase-Added Stereograms. in Hardware Acceleration of Computational Holography. Springer Nature Singapore, pp. 253-270. https://doi.org/10.1007/978-981-99-1938-3_16
Blinder, D. (2023). Sparse CGH and the Acceleration of Phase-Added Stereograms. In Hardware Acceleration of Computational Holography (pp. 253-270). Springer Nature Singapore. https://doi.org/10.1007/978-981-99-1938-3_16
@inbook{3b5abd5cb031448489186833724bc05b,
title = "Sparse CGH and the Acceleration of Phase-Added Stereograms",
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.",
author = "David Blinder",
year = "2023",
month = jul,
day = "18",
doi = "10.1007/978-981-99-1938-3_16",
language = "English",
pages = "253--270",
booktitle = "Hardware Acceleration of Computational Holography",
publisher = " Springer Nature Singapore",
}