《计算机应用研究》|Application Research of Computers

基于DWT最优多子图和SIFT几何校正的鲁棒水印算法

Robust watermarking algorithm based on DWT optimal multi-subgraph and SIFT geometric correction

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作者 李莹莹,张毅锋,程旭,孙一博
机构 1.东南大学 信息科学与工程学院,南京 210096;2.东南大学—南京通信技术研究院,南京 211100;3.南京大学 计算机软件新技术国家重点实验室,南京 210023
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文章编号 1001-3695(2019)06-045-1819-05
DOI 10.19734/j.issn.1001-3695.2018.01.0042
摘要 为提高水印系统鲁棒性,提出一种基于PSO算法优化的DWT多子图水印算法。算法选择DWT后的多个子图作DCT(离散余弦变换),然后利用PSO算法寻找最优的多子图组合权重,利用扩展变换QIM原理嵌入和提取水印。为提高算法抵抗几何攻击的性能,提出基于改进SIFT的水印图像抗几何攻击方法。采用一种基于圆的特征点描述方法改进SIFT,然后在水印提取前通过SIFT特征点匹配进行几何校正预处理。实验仿真结果表明,在保证水印不可察觉的基础上,基于PSO算法优化的DWT多子图水印算法的鲁棒性优于基于DWT单一子图的水印算法;加入改进SIFT算法的水印系统抵抗几何攻击的能力明显提高。
关键词 DWT-DCT数字水印; 扩展变换QIM; 粒子群优化算法; 尺度不变特征变换
基金项目 国家自然科学基金资助项目(61673108)
江苏省自然科学基金资助项目(BK20151102)
北京大学机器感知与智能教育部重点实验室开放课题资助项目(K-2016-03)
东南大学水声信号处理教育部重点实验室开放项目(UASP1502)
本文URL http://www.arocmag.com/article/01-2019-06-045.html
英文标题 Robust watermarking algorithm based on DWT optimal multi-subgraph and SIFT geometric correction
作者英文名 Li Yingying, Zhang Yifeng, Cheng Xu, Sun Yibo
机构英文名 1.School of Information Science & Engineering,Southeast University,Nanjing 210096,China;2.Nanjing Institute of Communications Technology,Southeast University,Nanjing 211100,China;3.State Key Laboratory for Novel Software Technology,Nanjing University,Nanjing 210023,China
英文摘要 In order to improve the robustness of watermarking system, this paper proposed a DWT(discrete wavelet transformation) multi-subgraph based watermarking algorithm with PSO algorithm. The algorithm selected multiple subgraphs after DWT for DCT(discrete cosine transformation). Then used PSO algorithm to find the optimal combination weights of multiple subgraphs. It embedded and extracted the watermark by using the spread transform QIM principle. To improve the performance of watermarking algorithm in resisting the geometric attacks, this paper proposed an anti-geometric attack method based on improved SIFT. It adopted a round based feature point description method to improve the SIFT algorithm. Before watermark extraction, it performed geometric correction processing by SIFT feature point matching. Experimental results show, based on the imperceptibility of watermark, the robustness of DWT multi-subgraph based watermarking algorithm with PSO algorithm is better than watermarking algorithm based on DWT single-subgraph. Watermarking system with improved SIFT algorithm can significantly improve the resistance to geometric attacks.
英文关键词 DWT-DCT digital watermarking; spread transform QIM; particle swarm optimization(PSO); scale invariant feature transform(SIFT)
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收稿日期 2018/1/25
修回日期 2018/3/15
页码 1819-1823,1827
中图分类号 TP309.2
文献标志码 A