Improved Watermark Extraction Exploiting Undeterminated Source Separation Methods

  • Mohammed Khalil
  • Nawal El Hamdouni
  • Abdellah Adib
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7340)

Abstract

In this paper, we propose an efficient blind audio watermarking detection method for spread spectrum watermarking system. The proposed method considers the detection problem of the watermark as a matter of Blind Source Separation (BSS) between the audio signal and the watermark one. Thus, we aim to improve detection step by employing Independent Subspace Analysis (ISA) and Empirical Mode Decomposition (EMD) theories. The resulting technique called UISA (Underdetermined Independent Subspace Analysis) permits extracting the embedded watermark with low binary error rate and high bit rate.

Keywords

Empirical Mode Decomposi Audio Signal Watermark Scheme Source Separation Blind Source Separation 
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 2012

Authors and Affiliations

  • Mohammed Khalil
    • 1
  • Nawal El Hamdouni
    • 2
  • Abdellah Adib
    • 1
  1. 1.LIM@II-FSTMMohammediaMorocco
  2. 2.LRIT -FSRRabatMorocco

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