An Audio Watermarking Algorithm Based on Chaos

Abstract:

This thesis proposes a new algorithm of the Chaos-based audio data hiding. The Chaos theory is introduced in design a new algorithm of the audio data hiding: with one section of audio as the watermarking, the Chaotic sequences select one part of the original audio signal as the carrier, and then embed the Chaos-encrypted audio watermarking into the carrier’s wavelet coefficients. Experimental results show that embedded watermark is imperceptibility and robust to many attacks, such as noise adding, re-sampling, low pass filtering, reverberation, MP3 compression and re-quantization and so on.

• Periodical: Advanced Materials Research (Volumes 532-533)
• Pages: 1764-1769
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.532-533.1764
• Online since: June 2012
• Authors: Hong Bin Tang, Ben Bin Liang
• Keywords: Audio Watermarking, Chaos Sequences, Data Hiding, Robustness, Safety, Wavelet Transform (WT)

References

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DOI: 10.1109/itcc.2003.1197589

930 8 1 1 Gaussian white noise.

960 5 1 1 Reverberation Not Mentioned.

992 6 1 Resampling.

790 1 1 1 Re-quantification.

991 3 1 1 MP3 compressed.

970 1(11: 1).

998 6(11: 1).

972 5(3: 1) Sample point cut Not Mentioned.

935 1(100).

833 1(300).

766 1(500).

972 1(100).

956 3(300).

926 2(500).

955 6(cut 1 point per 400 points).

926 3(cut 2 point per 400 points).

826 6(cut 3 point per 400 points) Time-domain linear elongation (+1%) Not Mentioned Not Mentioned.

975 3 Time-domain linear compression (－1%) Not Mentioned Not Mentioned.

978 6 Increased tone(+2%) Not Mentioned Not Mentioned.

895 3 Reduced tone(－2%) Not Mentioned Not Mentioned.

945 5.