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A feature-based robust digital image watermarking against desynchronization attacks

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Abstract

In this paper, a new content-based image watermarking scheme is proposed. The Harris-Laplace detector is adopted to extract feature points, which can survive a variety of attacks. The local characteristic regions (LCRs) are adaptively constructed based on scale-space theory. Then, the LCRs are mapped to geometrically invariant space by using image normalization technique. Finally, several copies of the digital watermark are embedded into the nonoverlapped LCRs by quantizing the magnitude vectors of discrete Fourier transform (DFT) coefficients. By binding a watermark with LCR, resilience against desynchronization attacks can be readily obtained. Simulation results show that the proposed scheme is invisible and robust against various attacks which includes common signals processing and desynchronization attacks.

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Authors and Affiliations

  1. School of Computer and Information Technique, Liaoning Normal University, Dalian, 116029, PRC

    Xiang-Yang Wang & Jun Wu

  2. State Key Laboratory of Vision and Auditory Information Processing, Peking University, Beijing, 100871, PRC

    Xiang-Yang Wang

Authors
  1. Xiang-Yang Wang
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  2. Jun Wu
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Corresponding author

Correspondence to Xiang-Yang Wang.

Additional information

This work was supported by Natural Science Foundation of Liaoning Province of China (No. 20032100), Open Foundation of State Key Laboratory of Vision and Auditory Information Processing (Peking University) (No. 0503), Natural Science Foundation of Dalian City of China (No. 2006J23JH020), Open Foundation of Jiangsu Province Key Laboratory for Computer Information Processing Technology (Soochow University)(No. KJS0602), Open Foundation of Key Laboratory of Image Processing and Image Communication (Nanjing University of Posts and Communications) (No. ZK205014).

Xiang-Yang Wang is a professor at Liaoning Normal University, and a senior member of China Computer Federation.

His research interests include multimedia information processing and network information security.

Jun Wu received the B.Sc. degree in computer science and information engineering from the North University for Minority, China, in 2000. He is currently pursuing the M.Sc. degree at the School of Computer and Information Technique, Liaoning Normal University, Dalian, China.

He has published about 10 refereed journal and conference papers. His research interests include digital watermarking technique and multimedia digital signal processing.

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Wang, XY., Wu, J. A feature-based robust digital image watermarking against desynchronization attacks. Int J Automat Comput 4, 428–432 (2007). https://doi.org/10.1007/s11633-007-0428-2

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  • DOI: https://doi.org/10.1007/s11633-007-0428-2

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