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A copyright protection scheme for digital images based on shuffled singular value decomposition and visual cryptography

机译:基于随机奇异值分解和视觉密码的数字图像版权保护方案

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摘要

This paper proposes a new watermarking algorithm based on the shuffled singular value decomposition and the visual cryptography for copyright protection of digital images. It generates the ownership and identification shares of the image based on visual cryptography. It decomposes the image into low and high frequency sub-bands. The low frequency sub-band is further divided into blocks of same size after shuffling it and then the singular value decomposition is applied to each randomly selected block. Shares are generated by comparing one of the elements in the first column of the left orthogonal matrix with its corresponding element in the right orthogonal matrix of the singular value decomposition of the block of the low frequency sub-band. The experimental results show that the proposed scheme clearly verifies the copyright of the digital images, and is robust to withstand several image processing attacks. Comparison with the other related visual cryptography-based algorithms reveals that the proposed method gives better performance. The proposed method is especially resilient against the rotation attack.
机译:提出了一种基于混合奇异值分解和视觉密码学的数字水印算法,用于数字图像的版权保护。它基于视觉密码生成图像的所有权和标识份额。它将图像分解为低频和高频子带。在将低频子带混洗后,进一步将其分成相同大小的块,然后将奇异值分解应用于每个随机选择的块。通过将低频子频带的块的奇异值分解的左正交矩阵的第一列中的元素与右正交矩阵中的对应元素进行比较来生成份额。实验结果表明,该方案可以清楚地验证数字图像的版权,并且能够抵抗多种图像处理攻击。与其他相关的基于视觉密码学的算法的比较表明,该方法具有更好的性能。所提出的方法对于旋转攻击特别有弹性。

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