arXiv Open Access 2021

Image quality enhancement of embedded holograms in holographic information hiding using deep neural networks

Tomoyoshi Shimobaba Sota Oshima Takashi Kakue and Tomoyoshi Ito

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Abstrak

Holographic information hiding is a technique for embedding holograms or images into another hologram, used for copyright protection and steganography of holograms. Using deep neural networks, we offer a way to improve the visual quality of embedded holograms. The brightness of an embedded hologram is set to a fraction of that of the host hologram, resulting in a barely damaged reconstructed image of the host hologram. However, it is difficult to perceive because the embedded hologram's reconstructed image is darker than the reconstructed host image. In this study, we use deep neural networks to restore the darkened image.

Topik & Kata Kunci

cs.CV cs.GR

Penulis (4)

Tomoyoshi Shimobaba

Sota Oshima

Takashi Kakue

and Tomoyoshi Ito

Format Sitasi

APA MLA BibTeX

Shimobaba, T., Oshima, S., Kakue, T., Ito, a.T. (2021). Image quality enhancement of embedded holograms in holographic information hiding using deep neural networks. https://arxiv.org/abs/2112.11246

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Informasi Jurnal

Tahun Terbit: 2021
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓