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Communication Dans Un Congrès Année : 2024

Fast and flexible GPU implementation of the view-dependent error diffusion algorithm

Antonin Gilles
Kevin Heggarty

Résumé

During the quantization of the hologram values part of the information is lost, which introduces quantization noise in the reconstruction. To enhance the hologram quality, we developed in a previous work a view-dependent error diffusion algorithm which rejects the quantization noise in specific views. However, this algorithm is slow which prevents its use in real-time applications. In this paper, we present a GPU implementation of this technique which uses the inherent parallelism of the error diffusion algorithm. Moreover, we introduce a technique to select diffusion weights, which allows a trade-off between computation time and reconstruction quality. Experimental results demonstrate the ability of our approach to quickly generate high-quality holograms.
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Dates et versions

hal-04660965 , version 1 (24-07-2024)

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Antoine Lagrange, Antonin Gilles, Kevin Heggarty, Bruno Fracasso. Fast and flexible GPU implementation of the view-dependent error diffusion algorithm. Optics, Photonics and Digital Technologies for Imaging Applications VIII, Apr 2024, Strasbourg, France. pp.17, ⟨10.1117/12.3016890⟩. ⟨hal-04660965⟩
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