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Adaptive Gaussian Points for Faster and Better Computer-Generated Holograms

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Abstract

To achieve better quality and generation speed, we generate holograms from adaptively sized and placed points, modeled as 2D Gaussians. We compute them with a Rayleigh-Sommerfeld convolution directly in a compact, radially symmetric look-up table.

© 2022 The Author(s)

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More Like This
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