一种Gaussian-Hermite矩分块重构的抗几何攻击水印算法

贾晓琳 1; 葛建超 1; 綦艳丽 1; 邵利平 2

doi:10.7652/xjtuxb201404004

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一种Gaussian-Hermite矩分块重构的抗几何攻击水印算法

更新时间：2025-04-29

- 一种Gaussian-Hermite矩分块重构的抗几何攻击水印算法
- Anti-Geometric Digital Watermark Algorithm with Block Reconstruction of Gaussian-Hermite Moments
- 西安交通大学学报 2014年48卷第4期页码：20-25
- 作者机构：
  
  西安交通大学电子与信息工程学院,西安,710049
- 作者简介：
- 基金信息：
  
  : 2013-10-17。作者简介: 贾晓琳(1963—),女,讲师。基金项目: 国家自然科学基金资助项目(61100239;60803088);陕西省科技新星资助项目(2011kjxx17);陕西省自然科学基金资助项目(2011JQ8009);教育部高等学校博士学科点专项科研基金资助项目(20100201110063)
- DOI：10.7652/xjtuxb201404004
  中图分类号： TP393
- 网络首发：2014-04-10，
  
  纸质出版：2014
- 稿件说明：
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贾晓琳 1, 葛建超 1, 綦艳丽 1, 等. 一种Gaussian-Hermite矩分块重构的抗几何攻击水印算法[J]. 西安交通大学学报, 2014,48(4):20-25.

Anti-Geometric Digital Watermark Algorithm with Block Reconstruction of Gaussian-Hermite Moments[J]. 2014, 48(4): 20-25.
贾晓琳 1, 葛建超 1, 綦艳丽 1, 等. 一种Gaussian-Hermite矩分块重构的抗几何攻击水印算法[J]. 西安交通大学学报, 2014,48(4):20-25. DOI： 10.7652/xjtuxb201404004.

Anti-Geometric Digital Watermark Algorithm with Block Reconstruction of Gaussian-Hermite Moments[J]. 2014, 48(4): 20-25. DOI： 10.7652/xjtuxb201404004.

摘要

针对目前抗几何攻击水印算法易在大尺度几何攻击下失效的问题

提出了一种基于几何校正和分块重构的局部区域水印算法

从而提高水印的鲁棒性和提取精度。该算法利用图像不变质心进行几何形变参数的估计

对图像进行几何校正以实现载体的同步; 根据几何攻击对图像视觉质量影响的分析

筛选可嵌入分块; 利用高斯-埃尔米特矩良好的图像重构能力

修改特定矩集

实现水印嵌入

获得含水印图像。为验证算法的抗几何攻击能力

对含水印载体图像遭受旋转、缩放、平移和其他常规性攻击后的性能进行了实验测试。实验结果表明

所提算法可抵抗多种几何攻击及常规图像攻击

能提取出较高精度的水印信息

相对于其他算法

水印的鲁棒性虽然相差无几但在保持较高视觉不可见性的前提下

嵌入容量有了一定程度的提高。

Abstract

A novel local watermarking algorithm with geometric correction and block reconstruction is proposed to deal with losing effectiveness in resisting large scale geometric attacks. The robustness and extraction precision of watermarking can be improved by this algorithm. Image invariant centroid is extracted to estimate geometric deformation parameters

and then the corresponding geometric correction is performed to achieve the carrier synchronization. The embeddable blocks are selected by analyzing the geometric attack influences to the image visual quality. Taking advantage of the excellent image reconstruction ability of Gaussian-Hermite moments

specially designated block moment collection is modified to embed watermarks.The experiments show that the proposed algorithm with good visual invisibility enables to resist various geometric attacks and common image processing impacts.

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Keywords

references

HU Ming-Kuei. Visual pattern recognition by moment invariants[J]. IRE Transactions on Information Theory, 1962, 8(2): 179-187.

TEAGUE M R. Image analysis via the general theory of moments[J]. Optical Society of America, 1980, 70(8): 920-930.

SUN Rui, YAN Xiaoxing, ZENG Wenjun, et al. Geometric invariant robust image hashing via Zernike moment[J]. International Journal of Wireless and Microwave Technologies, 2011, 1(5): 9-15.

KIM 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.

ALGHONIEMY M, TEWFIK A H. Geometric distortion correction through image normalization[C]∥Proceedings of the IEEE International Conference on Multimedia and Expo. Piscataway, NJ, USA: IEEE, 2000: 1291-1294.

张力, 韦岗, 张基宏. Tchebichef 矩在图像数字水印技术中的应用[J]. 通信学报, 2003, 24(9): 10-18.

ZHANG Li, WEI Gang, ZHANG Jihong. Application of Tchebichef moment in image watermarking techniques[J]. Journal of China Institute of Communications, 2003, 24(9): 10-18.

YAP P T, PARAMESRAN R. An image watermarking scheme based on orthogonal moments[C]∥Proceedings of the IEEE Region 10 Annual International Conference. Piscataway, NJ, USA: IEEE, 2005: 1-4.

SHEN Jun. Orthogonal Gaussian-Hermite moments for image characterization[C]∥Proceedings of the Intelligent Robots and Computer Vision: XVI Algorithms, Techniques, Active Vision, and Materials Handling. Pittsburgh, PA, USA: SPIE, 1997: 875-894.

YANG Bo, DAI Mo. Image analysis by Gaussian-Hermite moments[J]. Signal Processing, 2011, 91(10): 2290-2303.

JIA Xiaolin, QI Yanli, SHAO Liping, et al. A watermark algorithm based on SVD and image geometric correction[C]∥Proceedings of the IEEE International Conference on Systems and Informatics. Piscataway, NJ, USA: IEEE, 2012: 1861-1865.

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