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A blind watermarking algorithm based on adaptive quantization in Contourlet domain

机译:Contourlet域中基于自适应量化的盲水印算法

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摘要

Aiming at the copyright protection of digital works, a blind watermarking algorithm in Contourlet domain based on adaptive quantization is proposed. The algorithm adaptively regulates quantization step size in the Contourlet domain according to the mean of each sub block, so that the embedding strength of watermark can better adapt to the characteristics of each sub block. Before extracting watermark, the rotation correction algorithm has been applied in processing image, which greatly improves the ability of blind watermarking algorithm to resist rotation attacks. Many anti attack experiments are carried out on the proposed algorithm. The results show that the algorithm has good robustness, and it has distinctness advantages in anti JPEG compression, Gauss noise, shear and rotation attack.
机译:针对数字作品的版权保护,提出了一种基于自适应量化的Contourlet域盲水印算法。该算法根据每个子块的均值自适应地调整Contourlet域中的量化步长,从而使水印的嵌入强度能够更好地适应每个子块的特性。在提取水印之前,将旋转校正算法应用于图像处理中,大大提高了盲水印算法抵抗旋转攻击的能力。针对该算法进行了许多反攻击实验。结果表明,该算法具有良好的鲁棒性,在抗JPEG压缩,高斯噪声,剪切和旋转攻击方面具有明显的优势。

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