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Related Experiment Videos

Contourlet-based image watermarking using optimum detector in a noisy environment.

Mohammad Ali Akhaee1, Mohammad Ebrahim Sahraeian, Farokh Marvasti

  • 1Advanced Communication Research Institute, Department of Electrical Engineering, Sharif University of Technology, Tehran, Iran. akhaee@ee.sharif.edu

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|December 24, 2009
PubMed
Summary

This study introduces an improved image watermarking system that embeds data in image edges using the contourlet domain. The novel method enhances watermark robustness against various attacks like noise and compression.

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Area of Science:

  • Digital Image Processing
  • Information Security
  • Computer Vision

Background:

  • Human visual system sensitivity is lower for image edges.
  • Contourlet domain sparsely represents image edges, making it suitable for watermarking.
  • Existing watermarking techniques face challenges in balancing transparency and robustness.

Purpose of the Study:

  • To present an improved multiplicative image watermarking system.
  • To embed watermark data in the contourlet domain for enhanced robustness.
  • To develop an optimal detector and a blind watermarking extension.

Main Methods:

  • Watermark embedding in the highest energy directional subband of the contourlet domain.
  • Modeling contourlet coefficients with General Gaussian Distribution (GGD).
  • Utilizing Maximum Likelihood (ML) decision rule with channel side information for detection.
  • Blind watermarking extension using the patchwork idea.

Main Results:

  • Analytical calculation of watermarked noisy coefficients distribution.
  • Novel solution for the transparency-robustness tradeoff.
  • Proposed optimal detector demonstrates effectiveness.
  • Blind extension shows promise.

Conclusions:

  • The proposed image watermarking system offers superior performance against common attacks (AWGN, JPEG compression, rotation).
  • The contourlet domain provides an effective basis for robust image watermarking.
  • The developed detection and blind extension methods improve practical applicability.