An Optimized Watermarking Technique Using Wavelet Packet and Singular Value Decomposition
Bashar Ahmed, Sahar Saleh, Khaled Mahar
Available Online November 2015.
- https://doi.org/10.2991/racs-15.2016.21How to use a DOI?
- Wavelet packets transform; singular values decomposition; particle swarm optimization; images watermarking; imperceptibility; robustness
- This paper exploits the characteristics of both wavelet packet transform and singular values decomposition to propose a high capacity and robust watermarking technique. From the wavelet packets, the best wavelet sub-band, in the sense of evaluation metric, is found by using the particle swarm optimization algorithm to meet the requirements of imperceptibility and robustness of the watermarking algorithm. After the operation of particle swarm optimization, the watermark image can be embedded into the cover image, and the watermarked image is obtained. Intentional signal processing or malicious attacks are expected, and the watermarking algorithm is considered to keep the integrity for the media file. Experimental results demonstrate that the proposed method can increase the capability to resist such attacks. Moreover, the watermarked image quality can be guaranteed based on the inherent characteristics of the singular values decomposition concept.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Bashar Ahmed AU - Sahar Saleh AU - Khaled Mahar PY - 2015/11 DA - 2015/11 TI - An Optimized Watermarking Technique Using Wavelet Packet and Singular Value Decomposition BT - Proceedings of the 2015 International Conference on Recent Advances in Computer Systems PB - Atlantis Press SP - 124 EP - 129 SN - 2352-538X UR - https://doi.org/10.2991/racs-15.2016.21 DO - https://doi.org/10.2991/racs-15.2016.21 ID - Ahmed2015/11 ER -