期刊文献+

基于SIFT的抗几何攻击局部化图像水印 被引量:2

Geometrical Attack Robust Localized Image Watermark Based on SIFT
下载PDF
导出
摘要 基于尺度不变特征变换(SIFT)实现一种抗几何攻击数字水印。对SIFT进行图像特征点的检测,选择合适的特征点生成载体图像中的圆形区域,将圆形区域划分为扇形区域,然后采用空域奇偶量化方法进行水印信息的嵌入。为抵抗几何攻击,检测前基于SIFT稳定特征点实现图像缩放和旋转角度的估计,并就估计结果进行图像缩放和旋转恢复,对恢复后的图像进行数字水印的检测。实验证明,该方法对几何攻击具有较强的鲁棒性。 A novel digital watermark algorism based on Scale Invariant Feature Transform(SIFT) is proposed. Feature points are detected using SIFT, and some suitable feature points are selected to form circular patches of the carrier image. The circular patches are divided into sectors, and watermark is embedded into the sectors using spatial odds and even quantification. The watermark is detected using correlation method. To implement the geometric robustness, SIFT is used to detect the rotated angle and the scale that the image has undergone. And then the parameters obtained above are used to restore the image. The experiment results show that the algorism is robust to geometrical attack.
出处 《计算机工程》 CAS CSCD 北大核心 2008年第19期154-156,共3页 Computer Engineering
基金 江苏省自然科学基金资助项目(BK2006569) 长三角重大科技联合攻关基金资助项目(BE2004400)
关键词 几何攻击 数字水印 尺度不变特征变换 geometrical attack digital watermark Scale Invariant Feature Transform(SIFT)
  • 相关文献

参考文献6

  • 1Bas P, Chassery J M, Macq B. Geometrically Invariant Watermarking Using Feature Points[J]. IEEE Trans. on Image Processing, 2002, 11(9): 1014-1028.
  • 2Lee Hae-Yeoun, Kim Hyungshin, Lee Heung-Kyu. Robust Image Watermarking Using Local Invariant Features[J]. Optical Engineering, 2006, 45(3): 91-110.
  • 3Tang Chih-Wei, Hang Hsueh-Ming. A Feature-based Robust Digital Image Watermarking Scheme[J]. IEEE Trans. on Signal Processing, 2003, 51(4): 950-959.
  • 4梅时春,李人厚,党红梅.一种几何攻击下的数字图像水印检测方法[J].计算机工程,2003,29(8):106-108. 被引量:3
  • 5Lowe D G. Distinctive Image Features from Scale-lnvariant Keypoints[J]. International Journal of Computer Vision, 2004, 60(2): 91-110.
  • 6Mikolajczyk K, Schmid C. Indexing Based on Scale Invariant Interest Points[C]//Proc. of the 8th International Conference on Computer Vision. Vancouver, BC, Canada: [s. n.], 2001: 525-531.

二级参考文献6

  • 1Joseph J K, Ruanaidh O,Pun T.Rotation,Scale and Translation Invariant Spread Spectrum Digital Image Watermarking.Signal Processing, 1998,66:303.
  • 2Ni Z, Sung E, Shi Y Q.Enhancing Robustness of Digital Watermarking Against Geimetric Attack Based on Fractal Transform.IEEE Internation Conference on Multimedia and Expo,2000,2: 133.
  • 3Podilchuk C I,Zeng Wenjun.Image-adaptive Watermarking Using Visual Models[J].IEEE Journal on Selected Areas in Communications, 1998,16(4) :525.
  • 4Lin Chingyung, Wu Min,Bloom J A,et al.Rotation,Scale,and Translation Resilient Watermarking for Images [J].IEEE Transaction on Image Processing,2001, 10(5):767.
  • 5Licks V,Jordan R.On Digital Image Watermarking Robust to Geometric Transformations.Proceedings of International Conference on Image Processing, 2000,3:690.
  • 6Alghoniemy M,Tewfik A H.Geometric Distortion Correction Through Image Normalization.IEEE International Conference on Multimedia and Expo,2000,3:1291.

共引文献2

同被引文献12

引证文献2

二级引证文献4

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部