robust audio watermarking using frequency selective spread spectrum theory |
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Hafiz Malik, Ashfaq Khokhar, Rashid Ansari Dept. of Electrical and Computer Engineering University of Illinois at Chicago, Illinois, USA
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AbstractA new method is proposed for robust audio watermarking using direct-sequence spread spectrum in combination with the subband decomposition of the audio signal. The method exploits the frequency masking characteristics of the human auditory system (HAS) and inserts the watermark into a randomly selected frequency band of the input audio signal. Performance of the proposed system is evaluated for robustness to signal manipulations such as: contamination with additive noise, resampling, compression, filtering, multiple watermark insertion, and random chopping. Experimental results show that the capacity of the proposed watermarking scheme is relatively high compared with existing spread spectrum based audio watermarking schemes. |