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Robust Audio Watermarking by Using Low-Frequency Histogram

  • Shijun Xiang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6526)

Abstract

In continuation to earlier work where the problem of time-scale modification (TSM) has been studied [1] by modifying the shape of audio time domain histogram, here we consider the additional ingredient of resisting additive noise-like operations, such as Gaussian noise, lossy compression and low-pass filtering. In other words, we study the problem of the watermark against both TSM and additive noises. To this end, in this paper we extract the histogram from a Gaussian-filtered low-frequency component for audio watermarking. The watermark is inserted by shaping the histogram in a way that the use of two consecutive bins as a group is exploited for hiding a bit by reassigning their population. The watermarked signals are perceptibly similar to the original one. Comparing with the previous time-domain watermarking scheme [1], the proposed watermarking method is more robust against additive noise, MP3 compression, low-pass filtering, etc.

Keywords

Additive Noise Image Watermark Audio Signal Watermark Scheme Audio Watermark 
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 2011

Authors and Affiliations

  • Shijun Xiang
    • 1
  1. 1.Department of Electronic Engineering, School of Information Science and TechnologyJinan UniversityGuangzhouChina

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