An Optimal Digital Watermarking Algorithm in Curvelet Domain

DOI

10.2991/iceeecs-16.2016.239How to use a DOI?

Keywords

genetic algorithm(GA), digital watermarking, Curvelet transform, SVD

Abstract

An optimal digital image watermarking algorithm in Curvelet domain based on singular value decomposition (SVD) and genetic algorithm (GA) is proposed in this paper. The watermark is firstly encrypted by Arnold transform. Then, the low frequency part in Curvelet domain of the host image is divided into blocks, and with SVD prodcessing to every block , pixel values of scrambled watermark are embedded into largest singular values of blocks respectively by quantization index modulation method. Moreover, by GA to optimize quantification step our algorithm makes a tradeoff between robustness and invisibility. The watermark can be detected without the original image.The experimental results show that the algorithm is robust to JPEG compression, noise, cropping etc. attacks. The proposed hybrid algorithm can properly meet imperceptibility and robustness.

Copyright

© 2016, 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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TY  - CONF
AU  - Moyan Xiao
AU  - Zhibiao He
PY  - 2016/12
DA  - 2016/12
TI  - An Optimal Digital Watermarking Algorithm in Curvelet Domain
BT  - Proceedings of the 2016 4th International Conference on Electrical & Electronics Engineering and Computer Science (ICEEECS 2016)
PB  - Atlantis Press
SP  - 1231
EP  - 1234
SN  - 2352-538X
UR  - https://doi.org/10.2991/iceeecs-16.2016.239
DO  - 10.2991/iceeecs-16.2016.239
ID  - Xiao2016/12
ER  -