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Robust Zero-Watermark Algorithms in Hybrid Transform Domains Based on the Parity of Norm's Highest Digit

机译:基于范数最高位奇偶校验的混合变换域鲁棒零水印算法

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Two robust zero-watermark algorithms in hybrid transform domains are proposed. The first one is realized in hybrid transform domains of discreet cosine transform (DCT) and singular value decomposition (SVD), and the other one is realized in hybrid transform domains of discreet wavelet transform (DWT), DCT and SVD. The first algorithm divides an image into non-overlapping blocks, transforms every block with DCT, and conducts SVD on the upper left corner of every block's DCT matrix. Finally, it produces the zero-watermark sequence by judging the parity of norm's highest digit. The second algorithm transforms an image with DWT, divides its LL band into non-overlapping blocks, and transforms every block with DCT, then conducts SVD on the upper left corner of every block's DCT matrix. Finally, it produces the zero-watermark sequence by judging the parity of norm's highest digit. It is easy to find out that both of them have perfect visual effect. Experimental results show that as to images with different textures, both of them have good robustness against various attacks.
机译:提出了两种在混合变换域中鲁棒的零水印算法。第一个在离散余弦变换(DCT)和奇异值分解(SVD)的混合变换域中实现,另一个在离散小波变换(DWT),DCT和SVD的混合变换域中实现。第一种算法将图像划分为不重叠的块,使用DCT变换每个块,然后在每个块的DCT矩阵的左上角进行SVD​​。最后,它通过判断规范最高位的奇偶性来产生零水印序列。第二种算法使用DWT变换图像,将其LL波段划分为不重叠的块,然后使用DCT变换每个块,然后在每个块的DCT矩阵的左上角进行SVD​​。最后,它通过判断规范最高位的奇偶性来产生零水印序列。很容易发现它们两者都具有完美的视觉效果。实验结果表明,对于具有不同纹理的图像,两者均具有良好的鲁棒性。

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