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article · Tenth International Conference on Information Optics and Photonics · 2018

Fast hologram calculation using wavelet transform

Tomoyoshi Shimobaba, Shota Yamada, Takashi Kakue, Tomoyoshi Ito

Cited by 3Abstract and details only

Abstract

To further accelerate the calculations associated with point-cloud-based holograms, wavelet shrinkage-based superpositIon (WASABI) has been proposed. Wavelet shrinkage eliminates the small wavelet coefficient values of the light distribution emitted from a point cloud, resulting in an approximated light distribution calculated from a few representative wavelet coefficients. Although WASABI can accelerate the hologram calculations, the approximated light distribution tends to lose the high-frequency components. To address this issue, random sampling was applied to the light distribution.

Cite this paper

APA 7

Shimobaba, T., Yamada, S., Kakue, T., & Ito, T. (2018). Fast hologram calculation using wavelet transform. Tenth International Conference on Information Optics and Photonics, 1914, 116. https://doi.org/10.1117/12.2505810

MLA 9

Shimobaba, Tomoyoshi, et al. “Fast hologram calculation using wavelet transform.” Tenth International Conference on Information Optics and Photonics, vol. 1914, 2018, p. 116, https://doi.org/10.1117/12.2505810.

Chicago

Shimobaba, Tomoyoshi, Shota Yamada, Takashi Kakue, and Tomoyoshi Ito. 2018. “Fast hologram calculation using wavelet transform.” Tenth International Conference on Information Optics and Photonics 1914: 116. https://doi.org/10.1117/12.2505810.

Harvard

Shimobaba, T. et al. (2018) ‘Fast hologram calculation using wavelet transform’, Tenth International Conference on Information Optics and Photonics, 1914, p. 116. Available at: https://doi.org/10.1117/12.2505810.

BibTeX
@article{shimobaba2018fast,
  title = {{Fast hologram calculation using wavelet transform}},
  author = {Shimobaba, Tomoyoshi and Yamada, Shota and Kakue, Takashi and Ito, Tomoyoshi},
  journal = {Tenth International Conference on Information Optics and Photonics},
  volume = {1914},
  pages = {116},
  year = {2018},
  doi = {10.1117/12.2505810}
}

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