Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Journal of Display Technology
  • Vol. 11,
  • Issue 9,
  • pp. 709-714
  • (2015)

Reconstruction Improvement in Integral Fourier Holography by Micro-Scanning Method

Not Accessible

Your library or personal account may give you access

Abstract

Although integral holography has many promising advantages in the field of 3D imaging, the resolution of reconstructed holographic image is still limited by the insufficient information captured. To improve the reconstruction quality, an integral Fourier holographic imaging method based on micro-scanning of the micro-lens array is proposed in this paper. The micro-scanning of the micro-lens array can increase the sampling rate in spatial frequency domain and the information of the generated Fourier hologram, which will eventually eliminate the overlapping effect in the reconstructed 3D image. Experiments for different micro-scanning modes are carried out to verify the feasibility of the proposed method and to show that the reconstruction quality is effectively enhanced.

© 2015 IEEE

PDF Article
More Like This
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
Appl. Opt. 52(19) 4728-4737 (2013)

High resolution integral holography using Fourier ptychographic approach

Zhaohui Li, Jianqi Zhang, Xiaorui Wang, and Delian Liu
Opt. Express 22(26) 31935-31947 (2014)

Parameter analysis of integral Fourier hologram and its resolution enhancement

Ni Chen, Jae-Hyeung Park, and Nam Kim
Opt. Express 18(3) 2152-2167 (2010)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.