Independent Component Analysis for Domain Independent Watermarking

  • Authors:
  • Stéphane Bounkong;David Saad;David Lowe

  • Affiliations:
  • -;-;-

  • Venue:
  • ICANN '02 Proceedings of the International Conference on Artificial Neural Networks
  • Year:
  • 2002

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Abstract

A new principled domain independent watermarking framework is presented. The new approach is based on embedding the message in statistically independent sources of the covertext to mimimise covertext distortion, maximise the information embedding rate and improve the method's robustness against various attacks. Experiments comparing the performance of the new approach, on several standard attacks show the current proposed approach to be competitive with other state of the art domain-specific methods.