Volume 4 Number 4
October 2007
Article Contents
Xiang-Yang Wang and Jun Wu. A Feature-based Robust Digital Image Watermarking Against Desynchronization Attacks. International Journal of Automation and Computing, vol. 4, no. 4, pp. 428-432, 2007. doi: 10.1007/s11633-007-0428-2
Cite as: Xiang-Yang Wang and Jun Wu. A Feature-based Robust Digital Image Watermarking Against Desynchronization Attacks. International Journal of Automation and Computing, vol. 4, no. 4, pp. 428-432, 2007. doi: 10.1007/s11633-007-0428-2

A Feature-based Robust Digital Image Watermarking Against Desynchronization Attacks

  • Received: 2006-05-29
Fund Project:

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 (Soocbow University)(No.KJS0602);Open Foundation of Key Laboratory of Image Processing and Image Communication (Nanjing University of Posts and Communications)(No.ZK205014).

通讯作者: 陈斌, bchen63@163.com
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    沈阳化工大学材料科学与工程学院 沈阳 110142

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A Feature-based Robust Digital Image Watermarking Against Desynchronization Attacks

Fund Project:

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 (Soocbow University)(No.KJS0602);Open Foundation of Key Laboratory of Image Processing and Image Communication (Nanjing University of Posts and Communications)(No.ZK205014).

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.

Xiang-Yang Wang and Jun Wu. A Feature-based Robust Digital Image Watermarking Against Desynchronization Attacks. International Journal of Automation and Computing, vol. 4, no. 4, pp. 428-432, 2007. doi: 10.1007/s11633-007-0428-2
Citation: Xiang-Yang Wang and Jun Wu. A Feature-based Robust Digital Image Watermarking Against Desynchronization Attacks. International Journal of Automation and Computing, vol. 4, no. 4, pp. 428-432, 2007. doi: 10.1007/s11633-007-0428-2
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