一种改进的基于两级DCT的鲁棒数字图像水印算法

Huijuan Guo, Baoning Niu, Ying Huang, Hu Guan, Fangpeng Lan, Fei Lin
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引用次数: 2

摘要

提出了一种基于离散余弦变换(DCT)的图像水印算法。为了嵌入水印,我们首先将图像划分为不重叠的分区。然后,将DCT应用于主机图像块后,称为一级DCT,提取每个块的DC系数。接下来,我们对每个图像块的选定DC系数组成的矩阵再次执行DCT,称为两级DCT。最后,将水印嵌入到两级DCT后的系数部分。主机信号干扰(HIS)是扩频原理中一直关注的问题。本文通过用扩频水印(SSW)代替原始值来克服这一缺点。然而,在传统的方法中,这些原始值是通过添加SSW来修改的。此外,固定数量的图像分割块在抵抗缩放攻击方面发挥了重要作用。实验结果表明,该方法能够抵御滤波、加噪、JPEG压缩、缩放、宽高比变化和各种组合变换等多种图像处理攻击和几何畸变。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Improved Robust Digital Image Watermarking Algorithm based on two-level DCT
This paper presents a novel image watermarking algorithm based on Discrete Cosine Transform (DCT). To imbed the watermark, we first divide the image into non-overlapping partition. Then, after applying DCT, named as one-level DCT, to the host images blocks, and DC coefficients of each block are extracted. Next, we perform DCT again, named as two-level DCT, on the matrix comprised of the selected DC coefficients of each image blocks. Finally, the watermark is embedded on the part of the coefficients after the two-level DCT. The host signal interference (HIS) is the persistent concern in the spread spectrum principle. This paper overcomes the drawback by substituting spread spectrum watermark (SSW) for the original values. However, in the traditional way, these original values are modified by adding with SSW. Moreover, fixed-number blocks for image segmentation plays an important role in resisting scaling attacks. Experimental results demonstrate that the proposed method is resilient to many kinds of image processing attacks and geometric distortions, such as filtering, noise adding, JPEG compression, scaling, aspect ratio change and some kinds of combined transforms.
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