Computer-generated holographic near-eye display system based on LCoS phase only modulator

Peng Sun; Shengqian Chang; Siman Zhang; Ting Xie; Huaye Li; Siqi Liu; Chang Wang; Xiao Tao; Zhenrong Zheng

doi:10.1117/12.2271730

19 September 2017 Computer-generated holographic near-eye display system based on LCoS phase only modulator

Peng Sun, Shengqian Chang, Siman Zhang, Ting Xie, Huaye Li, Siqi Liu, Chang Wang, Xiao Tao, Zhenrong Zheng

Proceedings Volume 10396, Applications of Digital Image Processing XL; 103961J (2017) https://doi.org/10.1117/12.2271730
Event: SPIE Optical Engineering + Applications, 2017, San Diego, California, United States

Abstract

Augmented reality (AR) technology has been applied in various areas, such as large-scale manufacturing, national defense, healthcare, movie and mass media and so on. An important way to realize AR display is using computer-generated hologram (CGH), which is accompanied by low image quality and heavy computing defects. Meanwhile, the diffraction of Liquid Crystal on Silicon (LCoS) has a negative effect on image quality. In this paper, a modified algorithm based on traditional Gerchberg-Saxton (GS) algorithm was proposed to improve the image quality, and new method to establish experimental system was used to broaden field of view (FOV). In the experiment, undesired zero-order diffracted light was eliminated and high definition 2D image was acquired with FOV broadened to 36.1 degree. We have also done some pilot research in 3D reconstruction with tomography algorithm based on Fresnel diffraction. With the same experimental system, experimental results demonstrate the feasibility of 3D reconstruction. These modifications are effective and efficient, and may provide a better solution in AR realization.

Conference Presentation

Citation Download Citation

Peng Sun, Shengqian Chang, Siman Zhang, Ting Xie, Huaye Li, Siqi Liu, Chang Wang, Xiao Tao, and Zhenrong Zheng "Computer-generated holographic near-eye display system based on LCoS phase only modulator", Proc. SPIE 10396, Applications of Digital Image Processing XL, 103961J (19 September 2017); https://doi.org/10.1117/12.2271730

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