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A Blind Watermarking Algorithm Based on Singular Value Decomposition and Quantization

机译:一种基于奇异值分解和量化的盲水印算法

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A blind watermarking algorithm based on singular value decomposition and quantization in Contourlet domain is presented to protect the copyright of digital images. Firstly, a host image is decomposed by using Contourlet transform, and the low-frequency subband is divided into blocks. Then, by applying SVD to each block, the binary watermark information is embbeded by quantizing each singular value vector of each block. According to the quantization principle, blind extraction could be realized. Finally, the experimental results are given to show that, this algorithm can not only ensure the invisibility of the watermarked image, but also resist effectively various attacks, such as the filtering, adding noise, JPEG compression, cropping and so on.
机译:提出了一种基于奇异值分解和Contourlod域的量化的盲水印算法,以保护数字图像的版权。首先,通过使用Contourlet变换来分解主机图像,并且将低频子带分成块。然后,通过将SVD应用于每个块,通过量化每个块的每个奇异值向量来嵌入二进制水印信息。根据量化原理,可以实现盲提取。最后,给出了实验结果表明,该算法不仅可以保证水印图像的隐形,还可以有效地抵抗各种攻击,例如过滤,添加噪声,JPEG压缩,裁剪等。

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