A fast analytical algorithm for generating CGH of 3D scene

Liu, Yuanzhi; Dong, Jian‐Wen; Pu, Yiying; Chen, Bingchu; He, Hexiang; Deng, Zi‐Lan; Wang, He-Zhou

doi:10.1117/12.848472

Cited by 3 publications

(4 citation statements)

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“…However, when the scene geometry contains complex shapes, a large number of small planar segments containing only one or a few points are needed to sample it, making the wave-field approach less efficient than the point-source approach. In order to reduce the computation burden, several methods have been proposed, including the use of analytic expression of the angular spectrum [19,20,21,22,23], and color space conversion [24,25].…”

Section: Introductionmentioning

confidence: 99%

Complex modulation computer-generated hologram by a fast hybrid point-source/wave-field approach

Gules

Gioia

Cozot

et al. 2015

2015 IEEE International Conference on Image Processing (ICIP)

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International audienceWe propose a fast Computer-Generated Hologram (CGH) computation method based on a hybrid point-source/wave-field approach. Whereas previously proposed methods tried to reduce the computational complexity of the point-source or the wave-field approaches independently, our method uses the two approaches together and therefore takes advantages from both of them. The algorithm consists of three steps. First, the 3D scene is sliced into several depth layers parallel to the hologram plane. Then, for each layer, we compute the complex wave scattered by this layer either using a wave-field or a point-source approach according to a threshold criterion on the number of points within the layer. Finally, we sum up the complex waves scattered by all the depth layers in order to obtain the final CGH. Experimental results reveal that this combination of approaches does not produce any visible artifact and outperforms both the point-source and wave-field approaches

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Section: Introductionmentioning

confidence: 99%

Complex modulation computer-generated hologram by a fast hybrid point-source/wave-field approach

Gules

Gioia

Cozot

et al. 2015

2015 IEEE International Conference on Image Processing (ICIP)

View full text Add to dashboard Cite

show abstract

“…However, when the scene geometry contains complex shapes, a large number of small planar segments containing only one or a few points are needed to sample it, making the wave-field approach less efficient than the point-source approach. In order to reduce the CGH calculation time, several methods have been proposed, including the use of analytic expression of the angular spectrum [19,20,21,22,23] and color-space conversion [24,25].…”

Section: Introductionmentioning

confidence: 99%

Fast generation of complex modulation video holograms using temporal redundancy compression and hybrid point-source/wave-field approaches

Gilles¹,

Gioia

Cozot

et al. 2015

Applications of Digital Image Processing XXXVIII

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International audienceThe hybrid point-source/wave-field method is a newly proposed approach for Computer-Generated Holo-gram (CGH) calculation, based on the slicing of the scene into several depth layers parallel to the hologram plane. The complex wave scattered by each depth layer is then computed using either a wave-field or a point-source approach according to a threshold criterion on the number of points within the layer. Finally, the complex waves scattered by all the depth layers are summed up in order to obtain the final CGH. Although outperforming both point-source and wave-field methods without producing any visible artifact, this approach has not yet been used for animated holograms, and the possible exploitation of temporal redundancies has not been studied. In this paper, we propose a fast computation of video holograms by taking into account those redundancies. Our algorithm consists of three steps. First, intensity and depth data of the current 3D video frame are extracted and compared with those of the previous frame in order to remove temporally redundant data. Then the CGH pattern for this compressed frame is generated using the hybrid point-source/wave-field approach. The resulting CGH pattern is finally transmitted to the video output and stored in the previous frame buffer. Experimental results reveal that our proposed method is able to produce video holograms at interactive rates without producing any visible artifact

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“…[1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16] One of them is the look-up-table (LUT) method. 1 In this method, a significant increase of the computational speed has been obtained by precalculating all fringe patterns corresponding to point-source contributions from each of the possible locations in the object volume, which are called elemental fringe patterns (EFPs), and by storing them in the LUT.…”

Section: Introductionmentioning

confidence: 99%

“…[11][12][13][14][15][16] For the N-LUT algorithm, simultaneous loading of a set of PFPs as well as the input 3-D object data onto the internal memory of the GPU is needed for the calculation of Fresnel hologram patterns, so that the memory and computing structure of the GPU must be carefully evaluated for efficient implementation of the N-LUT on them. In this regard, the conventional 2-D N-LUT requiring more than GB memory for storing the 2-D PFPs may not be compatible with the GPU having low-memory capacities.…”

Section: Introductionmentioning

confidence: 99%

Graphics processing unit-based implementation of a one-dimensional novel-look-up-table for real-time computation of Fresnel hologram patterns of three-dimensional objects

Kwon

Kim

2014

Opt. Eng

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Abstract. A one-dimensional novel-look-up-table (1-D N-LUT) has been implemented on the graphics processing unit of GTX 690 for the real-time computation of Fresnel hologram patterns of three-dimensional (3-D) objects. For that, three types of optimization techniques have been employed, which include the packing technique of input 3-D object data and the managing techniques of on-chip shared memory and registers. Experimental results show that the average hologram calculation time for one object point of the proposed system has been found to be 0.046 ms, which confirms that the proposed system can generate almost 3 frames of Fresnel holograms with 1920 × 1080 pixels per second for a 3-D object with 8000 object points. © 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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A fast analytical algorithm for generating CGH of 3D scene

Cited by 3 publications

References 0 publications

Complex modulation computer-generated hologram by a fast hybrid point-source/wave-field approach

Complex modulation computer-generated hologram by a fast hybrid point-source/wave-field approach

Fast generation of complex modulation video holograms using temporal redundancy compression and hybrid point-source/wave-field approaches

Graphics processing unit-based implementation of a one-dimensional novel-look-up-table for real-time computation of Fresnel hologram patterns of three-dimensional objects

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