陈青,孙彦飞,郭功勋.基于Harris角点的抗几何攻击数字水印算法研究[J].包装工程,2018,39(13):188-193.
CHEN Qing,SUN Yan-fei,GUO Gong-xun.Digital Watermarking Algorithm Resistant to Geometric Attacks Based on Harris Corner[J].Packaging Engineering,2018,39(13):188-193. |
| 基于Harris角点的抗几何攻击数字水印算法研究 |
| Digital Watermarking Algorithm Resistant to Geometric Attacks Based on Harris Corner |
| 投稿时间：2018-03-20 修订日期：2018-07-10 |
| DOI：10.19554/j.cnki.1001-3563.2018.13.031 |
| 中文关键词: Harris检测算子 特征点 特征区域 离散小波变换 |
| 英文关键词: Harris detection operator feature points feature regions DWT |
| 基金项目:国家863计划基金（2012AA050206）；上海自然科学基金（12ZR1420800）；上海理工大学国家级项目培育基金（16HJPY-MS06） |
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| 中文摘要: |
| 目的 针对第2代数字水印算法具有良好的抗几何攻击能力，提出一种基于Harris提取特征区域并结合标志区的新算法，可有效抵抗几何攻击。方法 首先对载体图像进行预处理，得到标准图Harris，提取并筛选特征点，要求特征点稳定集中，再根据水印大小确定嵌入水印的特征区域，筛选特征区域并进行小波分解；最后根据变换后子带的系数均值及调制因子调整小波系数，水印信息被分块后依次嵌入特征区域分解后的子带。结果 实验显示文中算法的不可见性好，提取水印的相似度高，PSNR值均在65 dB之上，NC值均大于0.8。结论 该算法水印的提取不需原图的参与，具极强的鲁棒性，可有效抵抗常见信号处理攻击。 |
| 英文摘要: |
| The work aims to propose a new algorithm that can effectively resist the geometric attacks based on Harris extracting feature region combined with landmark region, with respect to the good anti-geometric attack ability of the second generation digital watermarking algorithm. Firstly, the carrier image was pre-processed to obtain Harris from the standard image. The feature points were extracted and screened, and they should be stable and concentrated. Secondly, the feature region to embed in the watermark was determined according to the watermark size, and then the feature region was screened and subject to wavelet decomposition. Finally, the wavelet coefficients were adjusted according to the subband coefficient mean and modulation factor. The blocked watermark information was respectively embedded into the sub-bands after the decomposition of the feature region. Experiments showed that the proposed algorithm had good invisibility, and the extracted watermarks were of high similarity. The PSNR values were all more than 65 dB and the NC values were all greater than 0.8. The watermark extraction of the proposed algorithm does not require original images but is of extremely robustness, which can effectively resist the attacks of the common signal processing. |
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