Content-adaptive targeting scheme for holographic displays

Computer-Generated Holography (CGH) algorithms identify Three-Dimensional (3D) holograms by utilizing focal stacks as their target images. However, periodically slicing depth planes to generate a focal stack can lead to artifacts and reduced contrast in visually salient parts on a 3D scene. We introduce a content-adaptive targeting scheme that prioritizes contrast and optimizes slicing of the depth planes. This way, our new targeting scheme reduces the slicing artifacts in reconstructed 3D holographic images.

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Publication Details

Published
2025-01-23
DOI
https://doi.org/10.1117/12.3040567
Primary Topic
Advanced Optical Imaging Technologies
Type
article
Field-Weighted Citation Impact
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article

Content-adaptive targeting scheme for holographic displays

Rafał Mantiuk, Dongyeon Kim, Kaan Akşit, Ziyang Chen
Advanced Optical Imaging Technologies
article

Content-adaptive targeting scheme for holographic displays

Rafał Mantiuk, Dongyeon Kim, Kaan Akşit, Ziyang Chen
article en

Abstract

Computer-Generated Holography (CGH) algorithms identify Three-Dimensional (3D) holograms by utilizing focal stacks as their target images. However, periodically slicing depth planes to generate a focal stack can lead to artifacts and reduced contrast in visually salient parts on a 3D scene. We introduce a content-adaptive targeting scheme that prioritizes contrast and optimizes slicing of the depth planes. This way, our new targeting scheme reduces the slicing artifacts in reconstructed 3D holographic images.

University of Cambridge (GB), University College London (GB)
Openalex Percentile: Top 98%
Advanced Optical Imaging Technologies
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