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A simple image-adaptive watermarking algorithm with blind extraction

机译:一种简单的盲提取图像自适应水印算法

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摘要

In this paper, we propose an adaptive, DCT based, blind image watermarking algorithm. The adaptability is developed, while exploring the properties of the human visual system (HVS), to embed robust watermarks in DCT matrices while making them the least visible in the space domain. In the algorithm, binary watermarks are embedded in image blocks having gray level variations sufficient to mask a certain level of signal alterations. The orientations of the variations in such a block are detected by examining the locations of the most significant DCT coefficients in the matrix and a particular DCT coefficient is then chosen for watermark embedding with a view to making the gray level changes resulting from the embedding have a similar orientation with the original image signal to mask the watermark better. Moreover, the embedding strength is made to depend on the DC component, as it indicates the brightness of the image block, to further reduce the visibility of the watermark. The algorithm is computationally simple because it extracts the needed features directly from the DCT coefficients. Simulation results show that the algorithm is highly robust against JPEG compression even at low quality factors while maintaining high visual quality. Furthermore, the computational simplicity of the algorithm makes it very useful in real-time applications.
机译:在本文中,我们提出了一种基于DCT的自适应盲图像水印算法。在探索人类视觉系统(HVS)的特性的同时,还开发出了适应性,可将鲁棒水印嵌入DCT矩阵中,同时使它们在空间域中最少可见。在该算法中,二进制水印被嵌入具有足以掩盖一定水平的信号变化的灰度级变化的图像块中。通过检查矩阵中最重要的DCT系数的位置来检测此类块中变化的方向,然后选择特定的DCT系数进行水印嵌入,以使嵌入产生的灰度级变化达到方向与原始图像信号相似,以更好地掩盖水印。而且,嵌入强度取决于DC分量,因为它指示图像块的亮度,以进一步降低水印的可见性。该算法的计算简单,因为它直接从DCT系数中提取所需的特征。仿真结果表明,即使在低品质因数的情况下,该算法对JPEG压缩也具有很高的鲁棒性,同时又保持了较高的视觉质量。此外,该算法的计算简便性使其在实时应用中非常有用。

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