title: Analysis of information transfer property and aliasing and overlapping elimination methods in integral Fourier holography.
abstract: 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.
authors.affiliation: School of Technical Physics, Xidian University, Xi’an 710071, China.
authors.forename: Chen
authors.initials: C
authors.lastname: Yang
authors.forename: Xiaorui
authors.initials: X
authors.lastname: Wang
authors.forename: Yin
authors.initials: Y
authors.lastname: Xu
authors.forename: Xin
authors.initials: X
authors.lastname: Wu
authors.forename: Yujiao
authors.initials: Y
authors.lastname: Chen
authors.forename: Jianqi
authors.initials: J
authors.lastname: Zhang