A framework for optimal blind watermark detection

  • Authors:
  • Trista Pei-chun Chen;Tsuhan Chen

  • Affiliations:
  • Carnegie Mellon University, Pittsburgh, PA;Carnegie Mellon University, Pittsburgh, PA

  • Venue:
  • MM&Sec '01 Proceedings of the 2001 workshop on Multimedia and security: new challenges
  • Year:
  • 2001

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Abstract

We propose a general framework for blind watermark detection. This framework contains a maximum-likelihood detector that utilizes the probability distribution of the original image. Other watermark detectors in literature are shown to be special cases of this framework. We demonstrate this framework in both the pixel domain and the transform domain, and show that our detector outperforms others because of 1) better modeling of the probability distribution of the original image, and 2) consideration to the human visual system in this framework.