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Digital Hologram Watermarking Based on Multiple Deep Neural Networks Training Reconstruction and Attack
This paper proposes a method to embed and extract a watermark on a digital hologram using a deep neural network. The entire algorithm for watermarking digital holograms consists of three sub-networks. For the robustness of watermarking, an attack simulation is inserted inside the deep neural network...
Autores principales: | Kang, Ji-Won, Lee, Jae-Eun, Choi, Jang-Hwan, Kim, Woosuk, Kim, Jin-Kyum, Kim, Dong-Wook, Seo, Young-Ho |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8347406/ https://www.ncbi.nlm.nih.gov/pubmed/34372214 http://dx.doi.org/10.3390/s21154977 |
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