Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)

Adaptive Image Steganography by Reversible Data Hiding

Authors
Guangjie Liu1, Yuewei Dai, Zhiquan Wang, Lian Shiguo
1Automation School of Nanjing University of Sci.& Tech. Nanjing, 210094, China
Corresponding Author
Guangjie Liu
Available Online October 2007.
DOI
10.2991/iske.2007.194How to use a DOI?
Keywords
Steganography, Adaptive quantization embedder, Steganography, constract-correlation distortion, difference expanding
Abstract

An adaptive steganographic scheme is proposed in this paper. The adaptive quantization embedder is introduced and employed by block-wised fashion. We also constructed contrast-correlation distortion metric to optimally choose quantization steps for image blocks to guarantee more data being embedded in busy areas. Different form existing methods, our scheme embeds the AQE parameters together with message bits into the cover image by difference expanding algorithm. Simulation experiments show the proposed scheme can provide a good trade-off between the perceptibility and the capacity.

Copyright
© 2007, 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 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)
Series
Advances in Intelligent Systems Research
Publication Date
October 2007
ISBN
978-90-78677-04-8
ISSN
1951-6851
DOI
10.2991/iske.2007.194How to use a DOI?
Copyright
© 2007, 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  - Guangjie Liu
AU  - Yuewei Dai
AU  - Zhiquan Wang
AU  - Lian Shiguo
PY  - 2007/10
DA  - 2007/10
TI  - Adaptive Image Steganography by Reversible Data Hiding
BT  - Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)
PB  - Atlantis Press
SP  - 1136
EP  - 1142
SN  - 1951-6851
UR  - https://doi.org/10.2991/iske.2007.194
DO  - 10.2991/iske.2007.194
ID  - Liu2007/10
ER  -