Novel Audio Information Hiding Algorithm Based on Wavelet Transform

WU Qiuling; WU Meng

doi:10.11999/JEIT150856

Volume 38 Issue 4

Apr. 2016

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Article Navigation > Journal of Electronics & Information Technology > 2016 > 38(4): 834-840

WU Qiuling, WU Meng. Novel Audio Information Hiding Algorithm Based on Wavelet Transform[J]. Journal of Electronics & Information Technology, 2016, 38(4): 834-840. doi: 10.11999/JEIT150856

Citation:

WU Qiuling, WU Meng. Novel Audio Information Hiding Algorithm Based on Wavelet Transform[J]. Journal of Electronics & Information Technology, 2016, 38(4): 834-840. doi: 10.11999/JEIT150856

WU Qiuling, WU Meng. Novel Audio Information Hiding Algorithm Based on Wavelet Transform[J]. Journal of Electronics & Information Technology, 2016, 38(4): 834-840. doi: 10.11999/JEIT150856

Citation:

WU Qiuling, WU Meng. Novel Audio Information Hiding Algorithm Based on Wavelet Transform[J]. Journal of Electronics & Information Technology, 2016, 38(4): 834-840. doi: 10.11999/JEIT150856

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Novel Audio Information Hiding Algorithm Based on Wavelet Transform

doi: 10.11999/JEIT150856

WU Qiuling¹,
WU Meng²

1.
2.
(College of Telecommunications and Information Engineering, Nanjing University of Posts &

Funds:

Jiangsu Province Postgraduate Scientific Research and Innovation Project (KYLX_0815), Jiangsu Province University Science Research Foundation (10KJA510035)

Received Date: 2015-07-16
Rev Recd Date: 2015-12-11
Publish Date: 2016-04-19

Abstract

Abstract

In view of the small hiding capacity, low concealment and poor robustness of the audio carrier, a novel audio information hiding algorithm is proposed based on wavelet transform. The algorithm regulates the high-frequency wavelet coefficients in every audio segment, and then changes the energy values of the former and the latter part in each audio to hide confidential information according to the characteristic that human auditory system is not sensitive to small changes in high frequency information of audio. First, the influence of embedded depth, hidden frequency-band and segment length of carrier audio on voice quality and bit error rate is tested to choose the best parameters, then algorithm is verified for the feasibility and robustness by several kinds of common attacking means. Experimental rdsults show that the proposed algorithm, which does not require the original audio signal in the watermark extraction, not only has good concealment and large hiding capacity, but also has strong robustness for resisting the common attacking behaviors, such as noise, low-pass filter, re-sampling, re-quantitative and echo interference. In additional, the audio segment is shorter, the hiding capacity is larger.
- Information hiding,
- Wavelet transform,
- High-frequency coefficients,
- Energy values

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References(23)

References

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