Resolution-enhanced holographic stereogram based on integral imaging using an intermediate-view synthesis technique

Zhang, Xu; Lv, Guoqiang; Wang, Zi; Hu, Ziang; Ding, Shanshan; Feng, Qibin

doi:10.1016/j.optcom.2019.124656

Cited by 14 publications

(5 citation statements)

References 25 publications

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“…The wave-front recording process of holography can be completed and simulated by a computer to generate the so-called computer-generated holograms (CGHs). The use of CGHs avoids the setup of complicated optical paths in optical holography [9,10], as long as the mathematical description of the 3D scene is obtained and transformed into the wave-front distribution in the hologram plane by algorithms. Therefore, the algorithm of calculating CGHs is key, because it directly determines the computational efficiency of the hologram and the quality of the reconstructed image [11,12].…”

Section: Introductionmentioning

confidence: 99%

Fast 3D Analytical Affine Transformation for Polygon-Based Computer-Generated Holograms

Fan

Zhang

et al. 2022

Applied Sciences

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We present a fast 3D analytical affine transformation (F3DAAT) method to obtain polygon-based computer-generated holograms (CGHs). CGHs consisting of tens of thousands of triangles from 3D objects are obtained by this method. We have attempted a revised method based on previous 3D affine transformation methods. In order to improve computational efficiency, we have derived and analyzed our proposed affine transformation matrix. We show that we have further increased the computational efficiency compared with previous affine methods. We also have added flat shading to improve the reconstructed image quality. A 3D object from a 3D camera is reconstructed holographically by numerical and optical experiments.

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Section: Introductionmentioning

confidence: 99%

Fast 3D Analytical Affine Transformation for Polygon-Based Computer-Generated Holograms

Fan

Zhang

et al. 2022

Applied Sciences

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“…Near‐field ray sampling method set a plane near the object to retain detailed information of that object 16 . Moving array lenslet technique (MALT) was introduced to improve volume pixel (voxel) uniformity through enhanced sampling rate 17–19 . Resolution priority HS was introduced to decrease the voxel size by adding a quadratic phase term on the conventional Fourier transform 20 .…”

Section: Introductionmentioning

confidence: 99%

Enhanced depth of field of computer‐generated holographic stereograms by twice close‐range capturing with occlusion processing

Dai

Wang

et al. 2021

J Soc Info Display

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In pinhole integral imaging (PII)‐based hologram, each pinhole is regarded as a point light source to emit light rays in different directions to simulate light propagation from the reconstructed 3D information to the computer‐generated hologram (CGH). The PII‐based hologram presents at a working mode similar to resolution‐priority integral imaging (RPII). The depth of field (DOF) is inevitably limited. In this paper, we use twice close‐range capturing to enhance the DOF of this hologram. Twice close‐range capturing can ensure that the virtual objects with different depths are not far from their respective image reference planes, and the detailed information of the back object also can be preserved. Besides, we use a simple ray‐tracing method to solve the occlusion problems. Numerical and optical reconstruction verified that the proposed method can reconstruct clearer 3D images compared with the single capturing method. In addition, the proposed method can present a natural occlusion effect. Thus, the DOF is enhanced.

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“…Taking Reference [19] as an example, each rectangular tile is calculated by using the 3D object data within the field of view (FOV) of this tile using the point cloud-based method. A full-parallax hologram with a resolution of 20,000 × 20,000 can take up to 32.9 h. Another rectangular tiling-based algorithm is integral holography, which is the combination of integral imaging 3D displays and holography [21][22][23][24]. In this method, each element of the light field image (EI) rendered from a micro-lens array or pinhole array is firstly fast Fourier transformed (FFT) as the complex amplitude of each elemental hologram, also called a hogel.…”

Section: Introductionmentioning

confidence: 99%

High-Resolution Hologram Calculation Method Based on Light Field Image Rendering

Yang

Zhang

et al. 2020

Applied Sciences

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A fast calculation method for a full parallax high-resolution hologram is proposed based on elemental light field image (EI) rendering. A 3D object located near the holographic plane is firstly rendered as multiple EIs with a pinhole array. Each EI is interpolated and multiplied by a divergent sphere wave and interfered with a reference wave to form a hogel. Parallel acceleration is used to calculate the high-resolution hologram because the calculation of each hogel is independent. A high-resolution hologram with the resolution of 200,000 × 200,000 pixels is calculated within only eight minutes. Full parallax high-resolution 3D displays are realized by optical reconstructions.

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Resolution-enhanced holographic stereogram based on integral imaging using an intermediate-view synthesis technique

Cited by 14 publications

References 25 publications

Fast 3D Analytical Affine Transformation for Polygon-Based Computer-Generated Holograms

Fast 3D Analytical Affine Transformation for Polygon-Based Computer-Generated Holograms

Enhanced depth of field of computer‐generated holographic stereograms by twice close‐range capturing with occlusion processing

High-Resolution Hologram Calculation Method Based on Light Field Image Rendering

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