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Visual attention model based dual watermarking for simultaneous image copyright protection and authentication

机译:基于视觉注意模型的双水印同步图像版权保护和认证

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摘要

In this paper, a visual attention model based dual watermarking scheme has been proposed for simultaneous image copyright protection and authentication. The suggested method simultaneously embeds two watermarks inside the host image. First of all, the robust watermark is embedded in the most visually salient region by Hessenberg factorization technique, which has proven to give better results in terms of imperceptibility and robustness. Subsequently, the second watermark acts as a fragile watermark for the purpose of tamper detection and localization. The fragile watermark is infused inside the image via fragile 8 Bit Plane Slicing, as we require for the watermark to be highly responsive to majority of geometric, and non-geometric impairments. The proposed scheme achieves an average Peak Signal to Noise Ratio and Structural SIMilarity Index of 46.88 dB and 0.9897 respectively. Experimental results depict that the projected scheme is extremely robust against most kinds of geometric, signal-processing, and hybrid attacks with an average Normalized Cross Correlation of 0.9401. Moreover, due to the incorporation of the fragile watermark, it can detect and localize tampering of an image with extreme accuracy.
机译:本文已提出了一种基于视觉模型的双水印方案,用于同时图像版权保护和认证。建议的方法同时在主机图像内嵌入两个水印。首先,通过Hessenberg分解技术嵌入了强大的水印在最具视觉区域中,已被证明可以在不可察觉和稳健性方面提供更好的结果。随后,第二水印用作抗篡改检测和定位的脆弱水印。脆弱的水印通过脆弱的8位平面切片在图像内注入,因为我们需要对大多数几何和非几何损伤的大部分来高度响应的水印。所提出的方案分别实现了46.88dB和0.9897的平均峰值信号与噪声比和结构相似度指数。实验结果描述了预计的方案对大多数几何,信号处理和混合攻击的平均归一化交叉相关0.9401的杂交攻击非常鲁棒。此外,由于脆弱的水印集成,它可以以极高精度检测和定位图像的篡改。

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