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Journal ArticleDOI

Fast high-resolution computer-generated hologram computation using multiple graphics processing unit cluster system

TLDR
This work implements an optimized CGH computation in their multi-graphics processing unit cluster system, which can calculate a CGH of 6,400×3,072 pixels from a three-dimensional object composed of 2,048 points in 55 ms.
Abstract
To overcome the computational complexity of a computer-generated hologram (CGH), we implement an optimized CGH computation in our multi-graphics processing unit cluster system. Our system can calculate a CGH of 6,400×3,072 pixels from a three-dimensional (3D) object composed of 2,048 points in 55 ms. Furthermore, in the case of a 3D object composed of 4096 points, our system is 553 times faster than a conventional central processing unit (using eight threads).

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Citations
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Journal ArticleDOI

Toward the next-generation VR/AR optics: a review of holographic near-eye displays from a human-centric perspective.

TL;DR: Compared with other 3D displays, the holographic display has unique advantages in providing natural depth cues and correcting eye aberrations and holds great promise to be the enabling technology for next-generation VR/AR devices.
Journal ArticleDOI

Improved layer-based method for rapid hologram generation and real-time interactive holographic display applications

TL;DR: Three different techniques, an improved coding scheme, a multilayer depth- fused 3D method and a fraction method are introduced to improve the calculation speed and depth cues quality of layer-based method for holographic image display.
Journal ArticleDOI

Recent progress in computer-generated holography for three-dimensional scenes

TL;DR: The recent progress in the CGH techniques is reviewed, covering the point-cloud-, light-ray-field-, layer-, and polygon-based techniques.
Journal ArticleDOI

Signal processing challenges for digital holographic video display systems

TL;DR: The steps needed to realize an end-to-end chain from digital content acquisition to display, involving the efficient generation, representation, coding and quality assessment of digital holograms are delineated.
Journal ArticleDOI

Review of Fast Algorithms and Hardware Implementations on Computer Holography

TL;DR: To reduce the calculation time, which is mainly consumed by diffraction calculation, fast algorithms and hardware implementations are highly necessary and will ensure the further development of this field.
References
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Journal ArticleDOI

Interactive computation of holograms using a look-up table

TL;DR: Several methods of increasing the speed and simplicity of the computation of off-axis transmission holograms are presented, with applications to the real-time display ofholographic images.
Proceedings ArticleDOI

Electronic display system for computational holography

TL;DR: An electro-optical apparatus capable of displaying a computer generated hologram (CGH) in real time is presented and coherent light is modulated by the AOM and optically processed to produce a three-dimensional image with horizontal parallax.
Journal ArticleDOI

Fast CGH computation using S-LUT on GPU

TL;DR: This work develops a novel algorithm with split look-up tables (S-LUT) and implements it on graphics processing unit (GPU) to solve the speed problem of coherent ray trace (CRT) algorithm and memory problem of LUT algorithm without sacrificing reconstructed object quality.
Journal ArticleDOI

Computer generated holography using a graphics processing unit.

TL;DR: This system can realize real-time reconstruction of a 64-point 3-D object at video rate using a liquid-crystal display of resolution 800x600 and the calculation speed of a GPU was found to be about 47 times faster than that of a personal computer with a Pentium 4 processor.
Journal ArticleDOI

Fast calculation of computer-generated-hologram on AMD HD5000 series GPU and OpenCL

TL;DR: Using a RV870 GPU and OpenCL, a CGH from a 3D object consisting of 1,024 points in 30 milli-seconds is calculated, a speed approximately two times faster than that of a GPU made by NVIDIA.
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