基于小波变换的语音信息隐藏新方法

吴秋玲; 吴蒙

doi:10.11999/JEIT150856

基于小波变换的语音信息隐藏新方法

doi: 10.11999/JEIT150856

吴秋玲¹,
吴蒙²

2.
(南京邮电大学通信与信息工程学院南京 210003) ②(南京理工大学紫金学院南京 210046)

基金项目:

江苏省普通高校研究生科研创新计划项目(KYLX_ 0815)，江苏省高校自然科学研究重点资助项目(10KJA510035)

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出版历程
- 收稿日期: 2015-07-16
- 修回日期: 2015-12-11
- 刊出日期: 2016-04-19

Novel Audio Information Hiding Algorithm Based on Wavelet Transform

WU Qiuling¹,
WU Meng²

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)

摘要

摘要: 针对音频载体在隐藏机密信息时，存在隐藏容量小、隐蔽性不高和鲁棒性较差等不足，该文提出一种基于小波变换的音频信息隐藏新算法。该算法利用人耳听觉系统对语音信号的中高频信息微小变化不敏感的特性，调节语音段小波变换的中高频系数，进而改变每级小波变换高频系数前后两部分的能量状态来隐藏二进制机密信息。首先测试隐藏深度、隐藏频段和载体语音分段长度3个参数对载体语音质量和机密信息误码率的影响，选择算法所需的最佳参数，然后测试算法的可行性和各项评价指标，最后对算法进行常见的5种攻击测试。测试结果表明该算法能够实现机密信息的盲提取；具有良好的隐蔽性和鲁棒性，能够抵御加噪、低通滤波、重采样、重量化和回声干扰等多种攻击；具有较大的隐藏容量，且语音分段长度越短，隐藏容量越大。
- 信息隐藏 /
- 小波变换 /
- 高频系数 /
- 能量状态
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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