2020
DOI: 10.1364/ol.383508
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Computer-generated photorealistic hologram using ray-wavefront conversion based on the additive compressive light field approach

Abstract: The conventional computer-generated hologram reconstructing photorealistic three-dimensional (3D) images based on ray-wavefront conversion has the disadvantage of spatio-angular resolution trade-off. In this Letter, we propose for the first time, to the best of our knowledge, a computer-generated photorealistic hologram without spatio-angular resolution trade-off based on the additive compressive light field (CLF) approach. The original light field is compressed into multiple layer images through numerical opt… Show more

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Cited by 27 publications
(12 citation statements)
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“…Zhan et al 9 rendered different images with real depths for each eye to provide approximate focus cue while relieving the discomfort from vergence-accommodation conflict. Wang et al 25 focused on photo-realistic hologram using ray-wavefront conversion.…”
Section: Light Field Displaysmentioning
confidence: 99%
“…Zhan et al 9 rendered different images with real depths for each eye to provide approximate focus cue while relieving the discomfort from vergence-accommodation conflict. Wang et al 25 focused on photo-realistic hologram using ray-wavefront conversion.…”
Section: Light Field Displaysmentioning
confidence: 99%
“…Since the birth of holography more than 60 years ago [1], it has evolved from traditional laser holography to today's Computer-Generated Holograms (CGHs) [2,3]. CGHs don't require special holographic recording materials, but instead use Spatial Light Modulators (SLMs) to load CGHs.…”
Section: Introductionmentioning
confidence: 99%
“…Wave-optics-based algorithms mainly contain the point-sourcebased methods [9], polygon-based methods [10] and layer-based methods [11]. However, in these methods, complicated physical phenomena, such as occlusion, shading, reflection, refraction, glossiness, and transparency, are hard to encode into the CGH [12]. These features are essential for photorealistic reconstruction.…”
Section: Introductionmentioning
confidence: 99%