基于小波變換的語音信息隱藏新方法

吳秋玲; 吳蒙

doi:10.11999/JEIT150856

基于小波變換的語音信息隱藏新方法

doi: 10.11999/JEIT150856

吳秋玲¹,
吳蒙²

2.
(南京郵電大學(xué)通信與信息工程學(xué)院南京 210003) ②(南京理工大學(xué)紫金學(xué)院南京 210046)

基金項目:

江蘇省普通高校研究生科研創(chuàng)新計劃項目(KYLX_ 0815)，江蘇省高校自然科學(xué)研究重點資助項目(10KJA510035)

計量
- 文章訪問數(shù): 1621
- HTML全文瀏覽量: 139
- PDF下載量: 489
- 被引次數(shù): 0
出版歷程
- 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: 針對音頻載體在隱藏機密信息時，存在隱藏容量小、隱蔽性不高和魯棒性較差等不足，該文提出一種基于小波變換的音頻信息隱藏新算法。該算法利用人耳聽覺系統(tǒng)對語音信號的中高頻信息微小變化不敏感的特性，調(diào)節(jié)語音段小波變換的中高頻系數(shù)，進(jìn)而改變每級小波變換高頻系數(shù)前后兩部分的能量狀態(tài)來隱藏二進(jìn)制機密信息。首先測試隱藏深度、隱藏頻段和載體語音分段長度3個參數(shù)對載體語音質(zhì)量和機密信息誤碼率的影響，選擇算法所需的最佳參數(shù)，然后測試算法的可行性和各項評價指標(biāo)，最后對算法進(jìn)行常見的5種攻擊測試。測試結(jié)果表明該算法能夠?qū)崿F(xiàn)機密信息的盲提取；具有良好的隱蔽性和魯棒性，能夠抵御加噪、低通濾波、重采樣、重量化和回聲干擾等多種攻擊；具有較大的隱藏容量，且語音分段長度越短，隱藏容量越大。
- 信息隱藏 /
- 小波變換 /
- 高頻系數(shù) /
- 能量狀態(tài)
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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