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Applied Optics

Applied Optics


  • Editor: Joseph N. Mait
  • Vol. 52, Iss. 19 — Jul. 1, 2013
  • pp: 4728–4737

Analysis of information transfer property and aliasing and overlapping elimination methods in integral Fourier holography

Chen Yang, Xiaorui Wang, Yin Xu, Xin Wu, Yujiao Chen, and Jianqi Zhang  »View Author Affiliations

Applied Optics, Vol. 52, Issue 19, pp. 4728-4737 (2013)

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Although integral Fourier holography has shown many promising advantages in real 3D display, reconstructed holographic image quality is still limited by restricted information capacity and aliasing and overlapping due to insufficient sampling in both the space and spatial frequency domains. In this paper, the space-bandwidth product of integral Fourier holographic imagery is derived to characterize its information transfer property. Furthermore, based on the above analysis, we propose the aliasing and overlapping elimination methods by estimating intermediate elemental images and orthographic projection views as virtual samplings, to improve the sampling rate in the space and spatial frequency domains. Finally, simulations and experiments are carried out to verify the feasibility of the proposed methods. The results show that our methods can effectively eliminate aliasing and overlapping, and enhance the reconstructed holographic image quality significantly.

© 2013 Optical Society of America

OCIS Codes
(090.0090) Holography : Holography
(090.1760) Holography : Computer holography
(100.6890) Image processing : Three-dimensional image processing
(200.3050) Optics in computing : Information processing
(350.5730) Other areas of optics : Resolution

ToC Category:

Original Manuscript: January 29, 2013
Revised Manuscript: April 29, 2013
Manuscript Accepted: May 27, 2013
Published: June 28, 2013

Chen Yang, Xiaorui Wang, Yin Xu, Xin Wu, Yujiao Chen, and Jianqi Zhang, "Analysis of information transfer property and aliasing and overlapping elimination methods in integral Fourier holography," Appl. Opt. 52, 4728-4737 (2013)

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