Digital Hologram Watermarking Based on Multiple Deep Neural Networks Training Reconstruction and Attack

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...

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Bibliographic Details
Main Authors: Ji-Won Kang, Jae-Eun Lee, Jang-Hwan Choi, Woosuk Kim, Jin-Kyum Kim, Dong-Wook Kim, Young-Ho Seo
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Sensors
Subjects:
digital hologram
digital watermark
deep neural network (DNN)
training dataset
convolution neural network (CNN)
Online Access:https://www.mdpi.com/1424-8220/21/15/4977

Internet

https://www.mdpi.com/1424-8220/21/15/4977

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