Proceedings of the 2014 International Conference on Advanced ICT (ICAICTE 2014)

The research of digital watermarking technology based on Neural Network

Authors
Liling Zhang
Corresponding Author
Liling Zhang
Available Online August 2014.
DOI
10.2991/icaicte-14.2014.56How to use a DOI?
Keywords
hyperchaos neural network system, initial value, encrypted matrix; Watermark
Abstract

In the paper a kind of hyperchaos neural network is creatively used to realize the encryption of digital images. By selecting a reasonable initial value for the hyperchaos neural network, an encrypted matrix can be attained to encrypt the digital watermark; meanwhile, the chosen 3-layer wave division technique is adopted to realize image’s encryption. The proposed method makes well use of the non-predictability of chaos system and the close dependence on initial value, as well as that the encrypted matrix cannot be got by illegitimate users. Thereto, the chosen 3-layer wave algorithm is also unknown to unauthorized users, which can powerfully protect the copyrights of digital images. The experiment results show that the method is sound and reasonable with great invisibility and robustness.

Copyright
© 2014, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2014 International Conference on Advanced ICT (ICAICTE 2014)
Series
Advances in Computer Science Research
Publication Date
August 2014
ISBN
978-94-62520-23-3
ISSN
2352-538X
DOI
10.2991/icaicte-14.2014.56How to use a DOI?
Copyright
© 2014, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Liling Zhang
PY  - 2014/08
DA  - 2014/08
TI  - The research of digital watermarking technology based on Neural Network
BT  - Proceedings of the 2014 International Conference on Advanced ICT (ICAICTE 2014)
PB  - Atlantis Press
SP  - 265
EP  - 269
SN  - 2352-538X
UR  - https://doi.org/10.2991/icaicte-14.2014.56
DO  - 10.2991/icaicte-14.2014.56
ID  - Zhang2014/08
ER  -