计算机工程与应用 ›› 2009, Vol. 45 ›› Issue (17): 108-112.DOI: 10.3778/j.issn.1002-8331.2009.17.033

• 网络、通信、安全 • 上一篇    下一篇

抗几何攻击的量化鲁棒水印技术研究

李惠明1,楼偶俊2   

  1. 1.辽宁科技大学 工商管理学院,辽宁 鞍山 114051
    2.吉林大学 计算机科学与技术学院,长春 130023
  • 收稿日期:2008-04-11 修回日期:2008-07-23 出版日期:2009-06-11 发布日期:2009-06-11
  • 通讯作者: 李惠明

Research on quantization-based robust watermarking technique against geometrical attacks

LI Hui-ming1,LOU Ou-jun2   

  1. 1.School of Business Administration,University of Science and Technology Liaoning,Anshan,Liaoning 114051,China
    2.Department of Computer,Jilin University,Changchun 130023,China
  • Received:2008-04-11 Revised:2008-07-23 Online:2009-06-11 Published:2009-06-11
  • Contact: LI Hui-ming

摘要: 提出了一种能够有效抵抗旋转、平移、缩放等基本几何攻击的鲁棒图像水印方案,在其嵌入方案中,提出一种几何不变量——基于图像圆区域内的统计特征不变性。利用该不变性,可以较好地矫正几何形变。在嵌入方案中,实现了在一个嵌入点上嵌入2比特水印信息量,并且利用HVS特性,把水印自适应地嵌入在视觉不敏感区域的纹理方向上。在水印提取方案中,利用特征圆形区域矫正形变,然后在DCT变换域中盲提取水印。实验结果表明,该水印方案具有很好的透明性,同时具有较强的抵抗基本几何形变能力,并且对于一般的图像处理、JPEG压缩等攻击具有较好的鲁棒性。

关键词: 图像水印, 几何形变攻击, 特征区域, 纹理方向, DCT量化

Abstract: This paper proposes a image watermarking scheme efficiently robust to basic geometrical attacks such as rotation,translation and scaling.In the embedding scheme,a geometrical invariable is proposed,which is based on the invariability of statistical feature in the circular image area.Using this invariability,the geometrical distortion is first retrieved.In embedded scheme,the 2 bits watermarking information is embeded in one embedding point.Using HVS,watermarking can be embeded adaptively in the texture direction of visual insensitive area.In extract scheme,feature circular area is used to remedy distortions,and then watermarking is extracted blindly in the DCT domain.Experimental results suggest,the watermarking scheme has the better transparency,at the same time,it has the strong ability in resisting basic geometrical distortions,also it has the better robustness for common image processing,JPEG compression and etc.

Key words: image watermarking, geometrical distorted attack, feature area, texture direction, DCT quantization