| 钟瑞泽,谢海波.基于视觉显著性与量化指数调制的图像鲁棒水印算法[J].电子测量与仪器学报,2020,34(3):17-27 |
| 基于视觉显著性与量化指数调制的图像鲁棒水印算法 |
| Robust image watermarking algorithm based on visual saliency and quantization exponential modulation |
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| DOI： |
| 中文关键词: 图像水印 显著性映射 量化指数调制 非下采样Contourlet变换 量化步长 奇异值分解 子块能量 |
| 英文关键词:image watermarking saliency map quantization exponential modulation non down sampling transform quantization step singular value decomposition sub-block energy |
| 基金项目:国家自然科学基金(61471175)、广东省“十二五”规划科学研究项目(2012JK190)资助 |
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| 中文摘要: |
| 为了兼顾水印系统的透明性与抗几何变换能力，提出了基于视觉显著性与量化指数调制的图像鲁棒水印算法。首先，采用Ripplet变换来处理宿主图像，得到特征映射；再利用Gaussian概率密度模型来计算特征映射对应的视觉显著性映射，并将其实施分解成一系列的子块，以获取其显著性均值；引入非下采样Contourlet变换来分解宿主图像，输出对应的低通子带和带通方向子带；随后，把低通子带分割为尺寸较小的非重叠子块，并计算每个子块的能量；联合显著性均值与能量，计算待嵌入子块对应的量化步长，将其视为密钥；借助奇异值分解来处理低通子带的每个子块，获取对应的对角矩阵，基于这些矩阵中的最大元素的均值，通过改进传统的对数量化指数调制方法，设计水印嵌入方法，根据每个子块对应的量化步长，将水印数据隐藏到载体中，得到水印图像；最后，根据接收密钥，定义水印提取机制，在水印图像中检测水印数据。实验数据表明：较当前的基于分块的水印技术而言，所提算法具备更高的水印透明性，且在常规几何内容操作下，其表现出更强的鲁棒性，所复原的水印失真最小。 |
| 英文摘要: |
| In order to take into account the transparency and anti geometric transformation ability of the watermarking system, a robust image watermarking algorithm based on visual saliency and quantization index modulation is proposed in this paper. Firstly, the Ripplet transform is used to process the host image for getting the feature map. Then, the Gaussian probability density model is used to calculate the visual saliency mapping corresponding to the feature map, and divide it into a series of non overlapping sub blocks for calculating the saliency mean of each sub block. The non down sampling Contourlet transform is introduced to decompose the host image for outputing the corresponding low pass subbands and band pass directional subbands. Subsequently, the low pass subband is divided into smaller non overlapping subbands and the energy of each subband is calculated. The saliency mean and energy are jointed to calculate the quantization step corresponding to the embedded sub block, which treat it as a key. The singular value decomposition is used to process each sub block of low pass subband for obtaining the corresponding diagonal matrix, and the maximum singular value is found out. A watermarking embedding method is designed based on the mean of the maximum singular value corresponding to all sub blocks, and according to the quantization step corresponding to each sub block, the watermarking data is hidden into the carrier to get the watermarking image. Finally, according to the received key, the watermarking extraction mechanism is defined to detect the watermarking data in the watermarking image. The experimental data show that this algorithm has higher transparency than the current block based watermarking technology, and under the conventional geometric content operation, it shows stronger robustness, and the restoration of watermarking distortion is the smallest. |
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