期刊文献+

基于改进的不变质心和小波域的鲁棒数字图像水印方法 被引量:1

Robust Image Watermarking Based on Improved Invariant Centroid and Wavelet Domain
下载PDF
导出
摘要 利用图像不变质心在图像中的相对位置对平移、旋转和缩放的不变性,提出了一种抗几何攻击的图像盲水印算法。算法首先根据水印比特的长度自适应地对原始图像进行特定级的小波分解,并修改某些相对稳定的最低一级的低频子图的小波系数,通过将修改后的系数进行小波重构来嵌入水印。接下来以含水印图像的基于改进的不变质心的不变特征矩阵为基础,与Rijndael加密技术相结合,生成相关的二值逻辑表作为密钥向第三方认证,达到版权保护的目的。该算法在提取水印时不需要原始载体图像和原始水印。实验结果表明,该算法时间复杂度低,能有效抵抗JPEG压缩、裁剪、噪声等常规攻击以及平移、旋转、缩放等几何攻击。 A geometrically robust blind watermarking algorithm was proposed using translation,rotation and scaling invariant property of relative coordinate of the invariant centroid.With certain level wavelet decomposition according to the length of the watermark bits,after modifying some selected coefficients in the lowest frequency of the last level for its robustness to the interference,the modified coefficients were applied to obtain the watermarked image by wavelet reconstruction.With the improved invariant centroid based characteristic matrix and the Rijndael encryption,a related binary logical table was produced.As the secret key,the table was used to apply to the third party for copyright protection.This arithmetic can extract the watermarking without the original carrier image and the original watermarking.Experimental results show its low time complexity and robustness to the common attacks such as JPEG compression,cropping and added noise,as well as the geometric attacks such as translation,rotation and scaling.
出处 《计算机科学》 CSCD 北大核心 2011年第4期278-281,298,共5页 Computer Science
基金 国家自然科学重点基金(60933002) 国家"863"重大专项计划(2009AA01A402) 武汉市晨光计划(201050231073)资助
关键词 不变质心 几何攻击 小波分解 不变特征矩阵 Rijndael加密 Invariant centroid Geometric attacks Wavelet decomposition Invariant characteristic matrix Rijndael encryption
  • 相关文献

参考文献11

  • 1Lee C H,Lee H K,Suh Y G. Image Watermarking Resistant to Combined Geometric and Removal Attacks [J]. InternationalJournal of Image and Graphics, 2005,5 (1) : 37-66.
  • 2金聪,彭嘉雄.基于图像投影序列的盲数字水印鲁棒检测方法[J].软件学报,2005,16(2):295-302. 被引量:11
  • 3Lin P L, Hsieh C K, Huang P W. A Hierarchical Digital Watermarking Method for Image Tamper Detection and Recovery[J]. Pattern Recognition, 2005,38 ( 12 ) : 2519-2529.
  • 4Kim H S, Lee H K. Invariant Image Watermark Using Zernike Moments[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2003,13 (8) : 766-775.
  • 5李雷达,郭宝龙,刘雅宁.基于伪Zernike矩的抗几何攻击图像水印[J].光电子.激光,2007,18(2):231-235. 被引量:21
  • 6沃焱,韩国强.基于修改的Zernike矩的抗几何攻击的数字水印方法[J].计算机科学,2009,36(5):247-250. 被引量:5
  • 7Liu Jun, Yang Huijuan, Kot A C. Relationships and Unification of Binary Images Data-hiding Methods[C].//IEEE International Conference on Image Processing. 2005,1 : Ⅰ-981-4.
  • 8Ji Z, Jiang L, Jin J. An Improved Second Generation Digital Image Watermarking Scheme [C] .//Mathematics of Data/Image Coding, Compression, and Encryption VI, with Applications. 2004,5208 : 218-223.
  • 9凌贺飞,卢正鼎,邹复好.抗几何攻击的数字水印技术综述[J].计算机工程与科学,2006,28(11):42-47. 被引量:14
  • 10Seo J S, Yoo C D. Image Watermarking Based on Invariant Regions of Scale-space Representation[J]. IEEE Transactions on Signal Process, 2006,54(4):1537-1549.

二级参考文献85

  • 1石磊,钟铭,洪帆.抵抗几何变换的基于量化的水印技术[J].计算机辅助设计与图形学学报,2004,16(6):850-855. 被引量:18
  • 2丁贵广,戴琼海,徐文立.基于兴趣点局部分布特征的图像检索方法[J].光电子.激光,2005,16(9):1101-1106. 被引量:24
  • 3陈靖远,陶亮.基于Gabor变换的一种有效的图像水印技术[J].光电子.激光,2005,16(11):1363-1367. 被引量:17
  • 4李雷达,郭宝龙,刘雅宁.基于伪Zernike矩的抗几何攻击图像水印[J].光电子.激光,2007,18(2):231-235. 被引量:21
  • 5Liao S X,Pawlak M.On the accuracy of Zernike moments for image analysis[J].IEEE Trans.Pattern Anal Mach.Intell,1998,20 (12):1358-1364
  • 6Farzam M,Shirani S.A robust multimedia watermarking technique using Zernike transform[A]//IEEE International Workshop Multimedia Signal Processing[C].Cannes,3-5 Oct.2001:529-534
  • 7Kim H S,Lee H K.Invariant image watermark using Zernike moments[J].IEEE Transactions on Circuits and System for Video Technology,2003,13(8):766-775
  • 8Xin Y Q,Pawlak S.A multibit geometrically robust image watermark based on Zernike moments[A]//17th International Conference on Pattern Recognition[C].23-26 Aug.2004,14:861-864
  • 9Xin Y,Liao S,Pawlak M.Geometrically robust image watermarking on a circular domain[J].Pattern Recognition,2007,40 (1):3740-3752
  • 10Kamila N K,Mahapatra S.Nanda S.Invariance image analysis using modified Zernike moments[J].Pattern Recognition Letters,2005,26 (1):747-753

共引文献46

同被引文献11

  • 1Johnson C R, Hendriks E, Berezhnoy I J, et al. Image processirlg for artist identiieation[J]. Signal Processing Magazine, 2008,25 (4):37-48.
  • 2Talhi M, Aloha A B, Salhi I., et al. Bionic wavelet based denoi- sing using source separation[J]. International Journal of Com- puter Communications & Control. , 2012,7 (3) : 574-585.
  • 3Nath S,Sinha P,Goswami S K. A wavelet based novel method for the detection of harmonic sources in power systems[J]. In- ternational Journal of Electrical Power& Energy System, 2012, 40(1):54-61.
  • 4Tian J, Chen L. Adaptive multi-focus image fusion usirlg a wave- let-based statistical sharpness measure [J]. Signal Processing, 2012,92 (9) :2137-2146.
  • 5Nadernejad E, Sharifzadeh S, Korhonen J. Improving perfo: ee of wavelet-based image de-noising algorithm using complex diffusion process[J]. Imaging Science Journal, 2012,60 (4) = 208- 218.
  • 6Shah V P, Younan N H, Durbha S S, et al. Feature identification via a combined ICA-wavelet method for image informatior: mi- ning[J]. Geoscienee and Remote Sensing Letters, 2010, 7 (1): 18-22.
  • 7Ye M, Routsos D. Wavelet-based color texture retrieval using the independent component color space[C] // 2008 15th IEEE International Conference on Image Processing. 2008:165-168.
  • 8Xu Q, Yang J, Din S-Y. Color texture analysis using the wavelet- based hidden Markov model[J]. Pattern Recognition Letters, 2006,26(11) : 1710-1719.
  • 9Moghaddam H A, Khajoie T T, Rouhi A H, et al. Wavelet cor- relogram: A new approach for image indexing and retrieval[J]. Pattern Recognition, 2005,38(12) : 2506-2518.
  • 10GonzalezRC,WoodsRE数字图像处理(第3版)[M].阮秋琦,阮字智,等译.北京:电子工业出版社,2011(5):289-333.

引证文献1

二级引证文献16

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