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Related Experiment Videos

Geometric invariance in image watermarking.

Masoud Alghoniemy1, Ahmed H Tewfik

  • 1Department of Electrical Engineering, University of Alexandria, Alexandria 21544, Egypt.

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|September 21, 2004
PubMed
Summary

This study introduces robust image watermarking techniques using invariant moments and image normalization to withstand geometric attacks. The methods ensure secure authentication without extra data transmission.

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Area of Science:

  • Digital Image Processing
  • Computer Vision
  • Information Security

Background:

  • Geometric attacks pose a significant threat to image watermarking systems.
  • Ensuring watermark integrity is crucial for authentication applications.

Purpose of the Study:

  • To develop robust image watermarking techniques resilient to geometric attacks.
  • To enhance watermark security in authentication contexts.

Main Methods:

  • Utilized invariant moments for watermark design and testing against StirMark attacks.
  • Proposed an image normalization technique for a standardized embedding and detection environment.
  • Developed algorithms that are computationally efficient and require no decoder-side overhead.

Main Results:

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  • The proposed invariant watermark demonstrated high robustness against StirMark attacks.
  • The image normalization technique effectively created a robust embedding and detection environment.
  • Algorithms proved highly resilient to geometric manipulations, filtering, compression, cropping, and noise.

Conclusions:

  • The developed image watermarking techniques offer superior robustness against various geometric and non-geometric attacks.
  • These methods provide an efficient and secure solution for image authentication.