A new method for producing computer generated holograms

Yang, Zhihan; Fan, Qi; Zhang, Yancao; Liu, Junning; Zhou, Ji

doi:10.1088/2040-8978/14/9/095702

Cited by 26 publications

(8 citation statements)

References 11 publications

(11 reference statements)

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“…The line scan (LS) method was developed by Yang et al [24] with the aim of reducing the size of the N-LUT. In the N-LUT method, the size of the LUT for the PFP of a single depth plane is M × N × B.…”

Section: Line Scan Methodsmentioning

confidence: 99%

Review of fast methods for point-based computer-generated holography [Invited]

Tsang

Poon

2018

Photon. Res.

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Computer-generated holography (CGH) is a technique for converting a three-dimensional (3D) object scene into a two-dimensional (2D), complex-valued hologram. One of the major bottlenecks of CGH is the intensive computation that is involved in the hologram generation process. To overcome this problem, numerous research works have been conducted with the aim of reducing arithmetic operations involved in CGH. In this paper, we shall review a number of fast CGH methods that have been developed in the past decade. These methods, which are commonly referred to as point-based CGH, are applied to compute digital Fresnel holograms for an object space that is represented in a point cloud model. While each method has its own strength and weakness, trading off conflicting issues, such as computation efficiency and memory requirement, they also exhibit potential grounds of synergy. We hope that this paper will bring out the essence of each method and provide some insight on how different methods may crossover into better ones.

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Section: Line Scan Methodsmentioning

confidence: 99%

Review of fast methods for point-based computer-generated holography [Invited]

Tsang

Poon

2018

Photon. Res.

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“…An algorithm based on point symmetry of a zone plate, which indicates a CGH generated from a single-point light source, can reduce the computational complexity. 38,39 An adaptive point-spread spherical wave synthesis algorithm 40,41 accelerates CGH calculations by reducing the number of point-light sources using data-compression ideas from graphics processing. An algorithm based on the sparsity of hologram patterns 42 can accelerate CGH calculations by using sparse FFTs whose computational complexity is lower than that of standard FFTs.…”

Section: Review Of Real-time Reconstruction Techniques For Aerial-promentioning

confidence: 99%

Review of real-time reconstruction techniques for aerial-projection holographic displays

et al. 2018

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Electroholography enables the projection of three-dimensional (3-D) images using a spatial-light modulator. The extreme computational complexity and load involved in generating a hologram make realtime production of holograms difficult. Many methods have been proposed to overcome this challenge and realize real-time reconstruction of 3-D motion pictures. We review two real-time reconstruction techniques for aerial-projection holographic displays. The first reduces the computational load required for a hologram by using an image-type computer-generated hologram (CGH) because an image-type CGH is generated from a 3-D object that is located on or close to the hologram plane. The other technique parallelizes CGH calculation via a graphics processing unit by exploiting the independence of each pixel in the holographic plane. © The Authors.Published by SPIE under a Creative Commons Attribution 3.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.

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“…If we assume that the display size is 50 inches as usual TV in consumer market, we need hologram pattern over 1 tera pixels. Thus fast holographic pattern generation is essential problem in commercialization of holographic display which is considered as ideal 3D display [1][2] [3]. In previous work of authors [4], 2 step wave field projection method was proposed to overcome accumulation problem of point source based method.…”

Section: Introductionmentioning

confidence: 99%

GPU implementation of wave field translation method for fast hologram generation

et al. 2014

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In this paper, we proposed parallel processing method of 2 step wave field projection method using GPU. In the first step, 2D projection of wave field for 3D object is calculated by radial symmetric interpolation (RSI) method to the reference depth, and then in step 2 it is translated toward depth direction using Fresnel transformation. In each step, the object points are divided into small groups and processed in each CUDA cores in parallel. Experimental results show that proposed method is 5901 times faster than Rayleigh-Sommerfeld method for 1 million object points and full HD SLM resolution.

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A new method for producing computer generated holograms

Cited by 26 publications

References 11 publications

Review of fast methods for point-based computer-generated holography [Invited]

Review of fast methods for point-based computer-generated holography [Invited]

Review of real-time reconstruction techniques for aerial-projection holographic displays

GPU implementation of wave field translation method for fast hologram generation

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