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• W4318824655 abstract "Vision-correcting near-eye displays are necessary concerning the large population with refractive errors. However, varifocal optics cannot effectively address astigmatism (AST) and high-order aberration (HOAs); freeform optics has little prescription flexibility. Thus, a computational solution is desired to correct AST and HOA with high prescription flexibility and no increase in volume and hardware complexity. In addition, the computational complexity should support real-time rendering. We propose that the light field display can achieve such computational vision correction by manipulating sampling rays so that rays forming a voxel are re-focused on the retina. The ray manipulation merely requires updating the elemental image array (EIA), being a fully computational solution. The correction is first calculated based on an eye’s wavefront map and then refined by a simulator performing iterative optimization with a schematic eye model. Using examples of HOA and AST, we demonstrate that corrected EIAs make sampling rays distributed within ±1 arcmin on the retina. Correspondingly, the synthesized image is recovered to nearly as clear as normal vision. We also propose a new voxel-based EIA generation method considering the computational complexity. All voxel positions and the mapping between voxels and their homogeneous pixels are acquired in advance and stored as a lookup table, bringing about an ultra-fast rendering speed of 10 ms per frame with no cost in computing hardware and rendering accuracy. Finally, experimental verification is carried out by introducing the HOA and AST with customized lenses in front of a camera. As a result, significantly recovered images are reported." @default.
• W4318824655 created "2023-02-02" @default.
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• W4318824655 date "2023-02-07" @default.
• W4318824655 modified "2023-10-18" @default.
• W4318824655 title "Light field displays with computational vision correction for astigmatism and high-order aberrations with real-time implementation" @default.
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• W4318824655 doi "https://doi.org/10.1364/oe.485547" @default.
• W4318824655 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/36823887" @default.
• W4318824655 hasPublicationYear "2023" @default.
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