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Schur Decomposition Based Robust Watermarking Algorithm in Contourlet Domain

机译:基于舒C分解的Contourlet域的鲁棒水印算法

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Most of the existing watermarking schemes utilized SVD decomposition to embed watermark, which lead to a high computational complexity and incidental the false positive detection problem. Therefore, this paper provides a robust copyright protection scheme based on a simple decomposition scheme (schur decomposition) and Quantization Index Modulation (QIM) in Contourlet domain. In addition, some stable features are acquired by using schur decomposition in the Contourlet domain. Consequently, the watermark is embedded into those stable features with QIM method. Experimental results show that the proposed scheme has some superiorities in terms of robustness and imperceptibility, which could against most common attacks such as JPEG compression, filtering, cropping, noise adding and so on.
机译:大多数现有的水印方案利用SVD分解来嵌入水印,这导致高计算复杂性和偶然的假阳性检测问题。因此,本文提供了一种基于Contourlet域中简单分解方案(SCUC分解)和量化索引调制(QIM)的强大版权保护方案。此外,通过在Contourlet域中使用Schur分解来获取一些稳定的特征。因此,水印嵌入到具有Qim方法的那些稳定的特征中。实验结果表明,该方案在鲁棒性和难以察觉方面具有一些优势,这可能与JPEG压缩,过滤,裁剪,噪声等诸如诸如JPEG压缩,过滤,裁剪,噪声等的最常见的攻击。

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