other · Figshare · 2018

Binary computer-generated-hologram-basedholographic data storage

Naru Yoneda, Saita, Yusuke, Nomura, Takanori

Cited by 0Open access

Abstract

Conventional computer-generated-hologram-based holographic data storage (CGH-HDS) needs to use a multi-level modulatable spatial light modulator (SLM). A binary SLM usually has a higher refresh rate than a multi-level one and it enables HDS to increase a data transfer rate. To increase the data transfer rate by using a binary SLM, the introduction of a binary CGH is proposed. In general, a binary CGH degrades the image quality of reconstructed intensity distribution and emphasizes high spatial frequency components of datapages. In the proposed method, reconstructed intensity distributions which satisfy image quality as datapages can be obtained with low-pass filtering with an aperture at a plane of a recording medium. The optimum size of an aperture is numerically evaluated. The proposed method is experimentally verified. Moreover, the proposed method can achieve single and multiplexed recording three datapages by a spherical reference beam with a binary CGH.

Cite this paper

APA 7

Yoneda, N., Saita, Y., & Nomura, T. (2018). Binary computer-generated-hologram-basedholographic data storage. Figshare. https://doi.org/10.6084/m9.figshare.c.4332209

MLA 9

Yoneda, Naru, et al. “Binary computer-generated-hologram-basedholographic data storage.” Figshare, 2018, https://doi.org/10.6084/m9.figshare.c.4332209.

Chicago

Yoneda, Naru, Yusuke Saita, and Takanori Nomura. 2018. “Binary computer-generated-hologram-basedholographic data storage.” Figshare. https://doi.org/10.6084/m9.figshare.c.4332209.

Harvard

Yoneda, N., Saita, Y. and Nomura, T. (2018) ‘Binary computer-generated-hologram-basedholographic data storage’, Figshare. Available at: https://doi.org/10.6084/m9.figshare.c.4332209.

BibTeX

@misc{yoneda2018binary,
  title = {{Binary computer-generated-hologram-basedholographic data storage}},
  author = {Yoneda, Naru and Saita, Yusuke and Nomura, Takanori},
  journal = {Figshare},
  year = {2018},
  doi = {10.6084/m9.figshare.c.4332209}
}

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