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Chin. Opt. Lett.
 Home  List of Issues    Issue 12 , Vol. 15 , 2017    10.3788/COL201715.120901


High efficient generation of holographic stereograms based on wavefront recording plane
Xuemei Cao1, Mingxiang Guan1, Linzhong Xia1, Xinzhu Sang2, Zhidong Chen2
1School of Electronic and Communication, Shenzhen Institute of Information Technology, Shenzhen 518172, China
2State Key Laboratory of Information Photonics and Optical Communications, Beijing University of Posts and Telecommunications (BUPT), Beijing 100876, China

Chin. Opt. Lett., 2017, 15(12): pp.120901

DOI:10.3788/COL201715.120901
Topic:Geometric optics
Keywords(OCIS Code): 090.1760  090.2870  

Abstract
A computer generated holographic stereogram based on the wavefront recording plane (WRP) is presented. A WRP closed to the parallax image plane is introduced to record the complex amplitude in a small region for each point in the parallax image. By using three times of fast Fourier transform (FFT) to execute the Fresnel diffraction calculation between the WRP and the holographic stereogram plane, the object wave contributing to the hologram pattern can be achieved. The computation complexity of the proposed approach is dramatically reduced. The results show that the calculation time can be decreased by more than one order of magnitude.

Copyright: © 2003-2012 . This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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Received:2017/8/4
Accepted:2017/9/22
Posted online:2017/10/25

Get Citation: Xuemei Cao, Mingxiang Guan, Linzhong Xia, Xinzhu Sang, Zhidong Chen, "High efficient generation of holographic stereograms based on wavefront recording plane," Chin. Opt. Lett. 15(12), 120901(2017)

Note: This work was supported by the National Natural Science Foundation of China (No. 61401288), the Guangdong Province Higher Vocational Colleges & Schools Pearl River Scholar Funded Scheme (2016), Integration of Cloud Computing and Big Data, Innovation of Science and Education (No. 2017A15009), and the Engineering Applications of Artificial Intelligence Technology Laboratory (No. PT201701).



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