Bessel-Fourier moment-based robust image zero-watermarking

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• 作者：Guangyong Gao (1) (2)
  Guoping Jiang (1)
  
  1. College of Automation ; Nanjing University of Posts and Telecommunications ; Nanjing ; 210003 ; China
  2. School of Information Science & Technology ; Jiujiang University ; Jiujiang ; 332005 ; China
  
• 关键词：Zero ; watermarking ; Bessel ; Fourier moments ; Feature image ; Robustness
• 刊名：Multimedia Tools and Applications
• 出版年：2015
• 出版时间：February 2015
• 年：2015
• 卷：74
• 期：3
• 页码：841-858
• 全文大小：2,278 KB
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• 刊物类别：Computer Science
• 刊物主题：Multimedia Information Systems
  Computer Communication Networks
  Data Structures, Cryptology and Information Theory
  Special Purpose and Application-Based Systems
  
• 出版者：Springer Netherlands
• ISSN：1573-7721

文摘

Aiming to resist various signal processing operations and geometric transformations, this paper proposes a robust zero-watermarking algorithm based on a new image moment called Bessel-Fourier moment. First, image normalization is used for the invariance of translation and scaling, then the magnitudes of Bessel-Fourier moments of normalized image are computed, which have rotation invariance and are used to construct the feature image regarded as watermarking. Experimental results and analyses show that the proposed method has strong robustness to various attacks, such as blurring, JPEG compression, Gaussian noise, rotation, scaling, Stirmark and print_photocopy_scan. Compared to the congener zero-watermarking schemes and Zernike moment, the developed method has better performance.