An Optimal Digital Watermarking Algorithm in Curvelet Domain
- https://doi.org/10.2991/iceeecs-16.2016.239How to use a DOI?
- genetic algorithm(GA), digital watermarking, Curvelet transform, SVD
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.
- © 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/).
Cite this article
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 - https://doi.org/10.2991/iceeecs-16.2016.239 ID - Xiao2016/12 ER -