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Optimum Decoding of Non-additive Full Frame DFT Watermarks

  • Alessia De Rosa
  • Mauro Barni
  • Franco Bartolini
  • Vito Cappellini
  • Alessandro Piva
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1768)

Abstract

The problem of optimum watermark recovery in a non additive, non Gaussian framework is addressed. Watermark casting is carried out on the frequency domain according to an additive-multiplicative rule. The structure of the optimum decoder is derived based on statistical decision theory. The Neyman-Pearson criterion is used to minimize the probability of missing the watermark for a given false detection rate. Experimental results highlights the superiority of the novel detector scheme with respect to conventional correlation-based decoding.

Keywords

Detector Response JPEG Compression Watermark Detection False Detection Rate False Positive Probability 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2000

Authors and Affiliations

  • Alessia De Rosa
    • 1
  • Mauro Barni
    • 2
  • Franco Bartolini
    • 1
  • Vito Cappellini
    • 1
  • Alessandro Piva
    • 1
  1. 1.Department of Electronic EngineeringUniversity of FlorenceFlorenceItaly
  2. 2.Department of Information EngineeringUniversity of SienaSienaItaly

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