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An improved robust watermarking scheme based on a shape-specific point and feature-embedding technique

机译:基于形状特定点和特征嵌入技术的改进鲁棒水印方案

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This study presents an improved robust watermarking scheme based on the shape-specific point and feature-embedding technique, namely, the Yang's scheme. In this study, a variant of the radius-weighted mean (RWM) decision rule and an extra rule are employed to promote hiding capacity, while maintaining competitive robustness. Simulations demonstrated that the proposed method is more robust than Yang's scheme against versatile manipulations; both the hiding capacity and peak signal-to-noise ratio (PSNR) of the proposed scheme are superior to that presented by Yang's scheme. Moreover, the proposed method has better performance in resisting large-scale noise-addition attacks when compared with Yang's scheme. Finally, the proposed scheme has an outstanding performance in resisting high compression ratio (CR) attacks from JPEG 2000. Specifically, the extracted watermarks are recognisable when the marked images were compressed by JPEG 2000 with a CR of 253.
机译:这项研究提出了一种改进的基于形状特定点和特征嵌入技术的鲁棒水印方案,即杨氏方案。在这项研究中,采用了半径加权均值(RWM)决策规则的变体和附加规则来提高隐藏能力,同时保持竞争的鲁棒性。仿真表明,所提出的方法比Yang的方法在通用操作方面更健壮。该方案的隐藏能力和峰值信噪比(PSNR)均优于Yang的方案。此外,与Yang的方案相比,该方法在抵抗大规模噪声添加攻击方面具有更好的性能。最后,所提出的方案在抵抗来自JPEG 2000的高压缩比(CR)攻击方面具有出色的性能。具体地说,当标记的图像被CR值为253的JPEG 2000压缩时,识别出的水印是可识别的。

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