Robust image watermarking based on Tucker decomposition and Adaptive-Lattice Quantization Index Modulation
详细信息 查看全文
- 作者：Bingwen Fenga ; 1 ; bingwfeng@gmail.com" class="auth_mail" title="E-mail the corresponding author ; Wei Lua ; luwei3@mail.sysu.edu.cn" class="auth_mail" title="E-mail the corresponding author ; Wei Suna ; sunwei@mail.sysu.edu.cn" class="auth_mail" title="E-mail the corresponding author ; Jiwu Huangb ; jwhuang@szu.edu.cn" class="auth_mail" title="E-mail the corresponding author ; Yun-Qing Shic ; shi@njit.edu" class="auth_mail" title="E-mail the corresponding author
- 关键词：Image watermarking ; Tensor ; Tucker Decomposition ; Adaptive-Lattice Quantization Index Modulation ; Structural SIMilarity
- 刊名：Signal Processing: Image Communication
- 出版年：2016
- 出版时间：February 2016
- 年：2016
- 卷：41
- 期：Complete
- 页码：1-14
- 全文大小：1979 K
文摘
- •
Tucker Decomposition is applied to extract host vectors.
- •
The stability of Tucker Decomposition is discussed and proved.
- •
Adaptive-Lattice QIM is proposed to modulate local embedding strength.
- •
The performance of the proposed scheme for real images is analytically discussed.
- •
The proposed scheme provides high robustness without degrading image quality.