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Optimization on digital watermarking algorithm based on SVD-DWT

机译:基于SVD-DWT的数字水印算法的优化

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Traditional digital watermarking algorithm based on DWT generally embedded in high frequency watermarks; these bands of wavelet coefficients are generally lower and they are vulnerable when attacked by different kinds of pictures so that they are difficult to deal with some strong attacks against algorithms such as damage to compression, filtering and so on. It results in that the robustness of algorithm always can't satisfy the requirements of practical application. The part of low-frequency after using Wavelet Transformation embeds in watermark information can improve the robustness of digital watermarking preferable by analysis. Under the condition that the amount of information in digital watermarking getting smaller, optimizing the image of Arnold scrambling algorithm, using it in to encrypts digital watermarking images, combining with the characteristics of singular value decomposition and processing the singular decomposition of wavelet transform image can enhance the digital watermark invisibility and robustness effectively.
机译:传统的基于DWT的数字水印算法一般都嵌入高频水印中。这些小波系数带通常较低,并且在受到不同类型的图片攻击时容易受到攻击,因此难以应对针对算法的强攻击,例如压缩,滤波等损坏。结果表明,算法的鲁棒性始终不能满足实际应用的要求。通过小波变换将低频部分嵌入到水印信息中,可以提高数字水印的鲁棒性。在数字水印中的信息量越来越小的情况下,优化Arnold加扰算法的图像,将其用于加密数字水印图像,结合奇异值分解的特征和处理小波变换图像的奇异分解可以增强数字水印的不可见性和鲁棒性。

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