Computer generated holography (CGH) is a computationally intensive task, which requires the design of efficient algorithms for calculating realistic holograms in real-time. Sparse CGH algorithms address this challenge by computing holographic signals in a transform domain where they are sparse, thereby requiring only to update a small number of coefficients and speeding up calculations. However, the required memory access patterns form a bottleneck, limiting speed gains. We propose a novel technique for computing phase-added stereograms by grouping Fourier coefficients into sub-stereograms, mapping to contiguous cells in 3D space. We present various implementations of this algorithm, reporting speedup factors ranging from 3 to 30 depending on the devices’ computing capability, without compromising on quality. This enables real-time CGH for driving holographic displays for more complex scenes.
|Titel||Proc. SPIE 11353, Optics, Photonics and Digital Technologies for Imaging Applications VI|
|Status||Published - 1 apr 2020|
|Evenement|| SPIE Photonics Europe, 2020 - online, Strasbourg, France|
Duur: 6 apr 2020 → 10 apr 2020
|Conference||SPIE Photonics Europe, 2020|
|Periode||6/04/20 → 10/04/20|