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Digital watermarking based on interleaving extraction block compressed sensing in Contourlet domain

机译:基于交织提取块压缩感知的Contourlet域数字水印

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Traditional digital watermarking in transform domain computes complex and has limited anti-attack. Different ways of signal sparsity of compressed sensing represent different domains, which expands the embeddable space of watermarking. To take advantage of its multi-direction and multi-resolution characteristics to sparse image, Contourlet transform was analyzed. For the limitation of traditional block decision, we adopt the interleaving extraction to reduce the block artifacts. Furthermore, we presented the watermarking algorithm based on interleaving extraction block compressed sensing in Contourlet domain, simulation results verifies that the algorithm enhances the peak signal to noise ratio. Attack tests show that the proposed digital watermarking has better robustness against JPEG compression, noising, cutting etc.
机译:变换域中的传统数字水印计算复杂并且具有有限的反攻击能力。压缩感知的信号稀疏性的不同方式表示不同的域,从而扩展了水印的可嵌入空间。为了利用其多方向和多分辨率特性来稀疏图像,对Contourlet变换进行了分析。针对传统分块决策的局限性,我们采用交织提取来减少分块伪像。此外,我们在Contourlet域中提出了一种基于交织提取块压缩感知的水印算法,仿真结果验证了该算法提高了峰值信噪比。攻击测试表明,提出的数字水印对JPEG压缩,降噪,剪切等具有更好的鲁棒性。

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