金匙小波域音訊浮水印系統

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姓名

黃景明(Ching-Ming Huang) 查詢紙本館藏

畢業系所

電機工程學系

論文名稱

金匙小波域音訊浮水印系統
(Key-based Audio Watermarking System using Wavelet Packet Decomposition)

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摘要(中)

本論文主要針對應用於音訊上的浮水印，提出一套不僅具有良好音訊品質且經音訊攻擊後仍具有高強韌性，且在萃取端並不需要原始音訊的數位浮水印技術。
本文提出的方法，以小波封包 ( Wavelet Packet ) 分頻方式，將樂音訊號經由濾波器群組分成29個次頻帶，其頻寬分布與人類聽覺的26個關鍵頻帶 ( Critical Band ) 相近，藉以找出人耳聲學模型 ( Psychoacoustic Model ) 中的最小遮蔽臨界值 ( Minimum Masking Threshold )，此值將作為嵌入浮水印時更動小波係數的依據。浮水印嵌入時選擇人耳較不敏感的偏低頻係數作為嵌入之用，並且使用區塊分類來過濾不適合嵌入浮水印的係數區塊，將數位浮水印嵌入較不易改變極性之區塊以確保浮水印的強韌性。另一個特點為在浮水印嵌入過程中會產生一組與原始音訊相關的安全鑰匙 ( Secure Key )，萃取端藉由此安全鑰匙即可完整取出嵌入的浮水印資訊，所以並無傳統做法中對原始音訊的需求，可以省去原始音訊的儲存空間。此外為了克服音訊同步的問題，也加入了同步碼搜尋的機制。實驗結果顯示對於MP3 48 Kbps以上之壓縮，以及StirMark各式的攻擊均有足夠的強健性，對於音訊裁切攻擊也能正確的找回同步點位置。

摘要(英)

In this thesis, we propose an audio watermarking system based on wavelet packet decomposition and psycho-acoustic modeling. The audio watermarking system can deliver perceptual transparent audio quality, and it is robust against various signal processing or malicious attacks.
The original audio signal is first segmented and divided into 29 subbands via wavelet packet decomposition. The bandwidth allocation of the subband decomposition structure is close to the critical band structure of human auditory system. Middle and middle-low subbands are chosen for watermark embedding. A selective embedding method is used to embed watermark into those coefficient blocks with clear block polarities. Modification of selected coefficients is based on the minimum masking threshold of psycho-acoustic model. Instead of the original Audio signal, a secure key is used in the watermark extraction to indicate the locations where watermark bits are embedded. In addition, a synchronization mechanism is imposed to search for the frame boundary of attacked audio signal.
Simulation results show that the watermarking system is robust against MP3 compression at 48 Kbps and above. It also survives StirMark attacks for audio and cropping attacks.

關鍵字(中)

★ 金匙
★ 音訊浮水印
★ 小波封包

關鍵字(英)

★ secure key
★ audio watermarking
★ wavelet packet

論文目次

摘要 I
Abstract II
目錄 III
圖目 V
表目 IX
第一章緒論 1
1.1簡介 1
1.2研究動機與目的 2
1.3系統架構 4
1.4論文架構 5
第二章音訊浮水印的發展簡介 7
2.1數位浮水印的應用 7
2.2數位浮水印的弁鉬搢D 10
2.3音訊浮水印標準評定程序 12
2.4數位音訊浮水印的發展 15
第三章小波分析與人耳聲學模型 21
3.1小波簡介 21
3.1.1小波轉換 21
3.1.2小波濾波器 24
3.1.3小波封包 27
3.2小波分頻架構 29
3.3人耳聲學模型 33
3.3.1基本原理與其應用 33
3.3.2模型公式 37
3.3.3訊號之各頻帶的最小遮蔽臨界值 41
3.4 轉換頻率遮蔽曲線至小波域 44
第四章小波域數位音訊浮水印 46
4.1 數位浮水印嵌入架構 48
4.1.1小波次頻帶選擇 49
4.1.2 子區塊分類 51
4.1.3 私密鑰匙的產生 53
4.1.4 子區塊極性強化 55
4.2 數位浮水印萃取架構 57
4.3 同步碼嵌入架構 59
4.4 同步碼搜尋萃取架構 64
第五章實驗結果及討論 66
5.1浮水印容量與音質評估 66
5.1.1浮水印容量評估 66
5.1.2樂音音質評估 68
5.2音訊壓縮測試 71
5.3 StirMark for Audio測試 76
5.4裁切測試 84
第六章結論 92
參考文獻 93
附錄A 96

參考文獻

[1] 林禎吉, 賴溪松, "數位浮水印的技術," 資訊安全通訊, 第四卷第三期, June 1998.
[2] 黃國峰, 張真誠, 黃明祥, "漫談數位浮水印技術," 資訊安全通訊, 第五卷第四期, September 1999.
[3] C. Xu, J. Wu and Q. Sun "Digital Audio Watermarking and Its Application in Multimedia Database," Signal Processing and Its Applications, 1999. ISSPA ’’99.
[4] M. Sablatash and T. Cooklev, "Compression of High-Quality Audio Signals, Including Recent Methods Using Wavelet Packets," Digital Signal Processing, vol. 6, no. 10, 1996, Page(s). 96-107.
[5] Y. Karelic and D. Malah, "Compression of High-Quality Audio Signals Using Adaptive Filterbanks and A Zero-Tree Coder," Electrical and Electronics Engineers in Israel, 1995.
[6] P. Srinivasan and L. H. Jamieson, "High-Quality Audio Compression Using an Adaptive Wavelet Packet Decomposition and Psychoacoustic Modeling," IEEE Trans. on Signal Processing, vol. 46, no. 4, April 1998, Page(s). 1085-1093.
[7] I.J. Cox, M.L. Miller and J.A. Bloom, "Watermarking applications and their properties," Information Technology: Coding and Computing, 2000. Proceedings. Page(s) 6-10.
[8] S.Craver, N. Memon, B.-L. Yeo and M.M. Yeung, "Resolving rightful ownerships with invisible watermarking techniques : limitations, attacks, and implications," IEEE Journal on Selected Areas in Communications, Volume: 16 Issue: 4 , May 1998. Page(s) 573-586.
[9] M. Arnold, "Audio watermarking: features, applications and algorithms," Multimedia and Expo, 2000. ICME 2000. Volume 2. Page(s) 1013-1016.
[10] M.D. Swanson, Bin Zhu and A.H. Tewfik, "Current state of the art, challenges and future directions for audio watermarking," in Proc. Int. Conf. on Multimedia Computing and Systems, 1999. Page(s) 19-24 vol.1.
[11] M. Steinebach, F.A.P. Petitcolas, F. Raynal, J. Dittmann, C. Fontaine, S. Seibel, N. Fates, and L.C. Ferri, "StirMark benchmark: audio watermarking attacks," in Proc. Int. Conf. on Information Technology: Coding and Computing, 2001. Page(s) 49-54.
[12] Stirmarkbench "Stirmark for Audio"
http://ms-smb.darmstadt.gmd.de/stirmark/stirmarkbench.html
[13] L. Boney, A.H. Tewfik and K. Hamdy, "Digital watermarks for audio signals," Processdings of the 1996 international conference on multimedia computing and systems.
[14] J.F. Tilki and A.A. Beex, "Encoding a hidden auxiliary channel onto a digital audio signal using psychoacoustic masking," engineering new century , IEEE 1997.
[15] Y. Wang, "A new watermarking method of digital audio content for copyright protection," proceedings of ICSP’’98 fourth international conference on signal processing, 1998.
[16] D. Gruhl, D. Lu and W. Bender "echo hiding, " Lecture Notes in Computer Science, Information Hiding, Vol.1174, pp.295~315, Springer, 1996
[17] H.-O. Oh, J.-W. Seok, J.-W. Hong and D.-H. Youn, "New echo embedding technique for robust and imperceptible audio watermarking," in Proc. Int. Conf. on Acoustics, Speech, and Signal Processing, 2001. Page(s) 1341-1344 vol.3.
[18] C.-C. Tseng, C.-B. Tseng and S.-L. Lee, "Audio Watermarking Based on Linear Prediction and Vector Quantization," Processdings of CVGIP 2001.
[19] J. Lacy, S.R. Quackenbush, A.R. Reibman, D. Shur and J.H. Snyder, "On combining watermarking with perceptual coding," in Proc. Int. Conf. on Acoustics, Speech, and Signal Processing, 1998. Page(s) 3725-3728 vol.6.
[20] 張立鈞, "Digital watermarking of Audio Signals," 碩士論文, 中正大學, 1999.
[21] C.-P. Wu, P.-C. Su and C.-C. Kuo, "Roubust and Efficient Digital Audio Watermarking Using Audio Content Analysis," Proceedings of SPIE, Security and Watermarking of Multimedia Contents II, January, 2000. Page(s) 382-392.
[22] C. S. Burrus, R. A. Gopinath, and H. Guo, "Introdution to Wavelets and Wavelet Transforms," 1998.
[23] P. E. Kudumakis and M. B. Sandler, "Wavelet Packet Based Scalable Audio Coding," in Proc. Int. Conf. Acoust., Speech, Signal Process. 1996, pp. 41-44.
[24] W. K. Dobson, J. J. Yang, K. J. Smart, and F. K. Guo, "High Quality Low Complexity Scalable Wavelet Audio Coding," in Proc. Int. Conf. Acoust., Speech, Signal Process. 1997, pp. 327-330.
[25] P. Philippe, F. Moreau de Saint-Martin, and L. Mainard, "On The Choice of Wavelet Filters for Audio Compression," in Proc. Int. Conf. Acoust., Speech, Signal Process. 1995, pp. 1045-1048.
[26] P. E. Kudumakis and M. B. Sandler, "On The Performance of Wavelets for Low Bit Rate Coding of Audio Signals," in Proc. Int. Conf. Acoust., Speech, Signal Process. 1995, pp. 3087-3090.
[27] I. Daubechies, "Ten Lectures on Wavelets," no. 61 in CBMS-NSF Series in Applied Mathematics, SIAM, Philadelphia, 1992.
[28] R. R. Coifman and M. V. Wickerhauser, "Entropy-based algorithms for best basis selection," IEEE Trans. Information Theory, vol. 38, pp. 713-718, March, 1992.
[29] E. Zwicker and H. Fastl, Psychoacoustics Facts and Models, Springer, Berlin, Heidelberg, 1990.
[30] ISO/IEC 11172-3 : "Information technology - Coding of moving pictures and associatedaudio for digital storage media at up to about 1.5 Mbit/s - Part 3: Audio (MPEG-1) ," 1992.
[31] M. Rosa, F. Lopez, P. Jarabo and S. Maldonado, "New method to translate the psycho-acoustic information to the wavelet domain," EURASIP Conf. DSP for multimedia Communications and Services, Krakow, Jun 1999.
[32] M.-T. Chou, "Audio Compression Using Wavelet Packets And A Zero-Tree Coder With Psychoacoustic Modeling," Master thesis, National Central University, Taiwan, 1999.
[33] R.-S. Lin, "Scalable Audio Compression Using Wavelet Packets Decomposition and Embedded Zero Tree Coding," Master thesis, National Central University, Taiwan, 2000.
[34] D.-K. Lien, "Packet Loss Recovery Using Data Hiding for Embedded Zero Tree Wavelet Packet Audio," Master thesis, National Central University, Taiwan, 2001.
[35] L.-L. Lee, "A Key-based image Watermarking system using subblock composition in DCT domain and DWT domain," Master thesis, National Central University, Taiwan, 2001.

指導教授

張寶基(Pao-Chi Chang)

審核日期

2002-6-21

推文