A Domain-independent Dual-image based Robust Reversible Watermarking

• Published in: KSII transactions on Internet and information systems 2022-12, Vol.16 (12), p.4024
• Main Authors: Guo, Xuejing, Fang, Yixiang, Wang, Junxiang, Zhao, Yi, Zhang, Tianzhu, Yun-Qing, Shi
• Format: Article
• Language: English
• Subjects: Algorithms; Data security; Image processing; Methods
• ISSN: 1976-7277; 1976-7277
• DOI: 10.3837/tiis.2022.12.014

Robust reversible watermarking has attracted widespread attention in the field of information hiding in recent years. It should not only have robustness against attacks in transmission but also meet the reversibility of distortion-free transmission. According to our best knowledge, the most recent robust reversible watermarking methods adopt a single image as the carrier, which might lead to low efficiency in terms of carrier utilization. To address the issue, a novel dual-image robust reversible watermarking framework is proposed in this paper to effectively utilize the correlation between both carriers (namely dual images) and thus improve the efficiency of carrier utilization. In the dual-image robust reversible watermarking framework, a two-layer robust watermarking mechanism is designed to further improve the algorithm performances, i.e., embedding capacity and robustness. In addition, an optimization model is built to determine the parameters. Finally, the proposed framework is applied in different domains (namely domain-independent), i.e., Slantlet Transform and Singular Value Decomposition domain, and Zernike moments, respectively to demonstrate its effectiveness and generality. xperimental results demonstrate the superiority of the proposed dual-image robust reversible watermarking framework. Keywords: Domain-independent, Dual-image, Reversible watermarking, Robust Watermarking