A Geometrically Invariant Robust Image Watermarking Based on Deformable Multi-scale Transform
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摘要: 尽管过去十多年鲁棒数字水印取得了长足的进展,然而如何有效地抵抗几何变换仍然是鲁棒数字水印的关键问题之一. 本文通过设计具有平移不变性、可旋转和可缩放特性的可变形多尺度变换(Deformable multi-scale transform, DMST)来抵抗全局几何攻击. 基于此变换,本文从理论上推导几何同步机制,然后进一步利用它并辅助于模板来设计能有效估计几何攻击参数的算法. 此外,将常规(双)正交小波域隐马尔科夫模型进一步推广到可旋转小波域,以提高水印的检测性能. 实验结果表明本文算法对于常见信号处理攻击、全局几何攻击及其联合攻击具有很好的鲁棒性.Abstract: The robustness against geometrical transforms is still one of major concerns in robust watermarking although significant improvements have been achieved in past decades. This paper tackles the global geometrical attacks by designing a deformable multi-scale transform (DMST) with joint shiftability in position, orientation and scale. Via DMST, we derive theoretically the principles for geometrical synchronization and then utilize it to develop a template-based scheme to efficiently estimate geometrical parameters. The hidden Markov model in the standard wavelet domain is extended to the steerable wavelet domain, which is further used to improve the watermark extraction performance. Experimental simulation demonstrates that the proposed watermarking scheme is quite robust to common signal processing, global geometrical attacks, and their joint attacks.
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