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Image authentication using distributed source coding.

Yao-Chung Lin1, David Varodayan, Bernd Girod

  • 1Department of Electrical Engineering, Stanford University, Stanford, CA 94305, USA. yclin79@stanfordalumni.org

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|May 26, 2011
PubMed
Summary
This summary is machine-generated.

We developed a new image authentication method using distributed source coding. This approach ensures image integrity against modifications while tolerating legitimate adjustments like brightness changes.

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Area of Science:

  • Digital image processing
  • Information theory
  • Computer security

Background:

  • Digital images are vulnerable to unauthorized modifications.
  • Existing image authentication methods often lack robustness against legitimate image variations.
  • Secure and reliable image authentication is crucial for various applications.

Purpose of the Study:

  • To propose a novel image authentication system leveraging distributed source coding.
  • To enhance robustness against legitimate image adjustments while maintaining detection of illegitimate modifications.
  • To enable tampering localization within authenticated images.

Main Methods:

  • Utilizing Slepian-Wolf encoded quantized image projection as authentication data.
  • Employing an authentic image as side information for decoding.
  • Incorporating expectation maximization algorithms for robust authentication.
  • Applying the sum-product algorithm for tampering localization.

Main Results:

  • The proposed system successfully authenticates images with contrast, brightness, and affine warping adjustments.
  • Distributed source coding provides robustness against legitimate variations.
  • Illegitimate modifications are effectively detected.
  • Tampering localization is achieved through the sum-product algorithm.

Conclusions:

  • The novel distributed source coding approach offers a robust and effective solution for image authentication.
  • The system demonstrates resilience to common image processing operations.
  • The method provides valuable tampering localization capabilities, enhancing overall image security.