Ebook ALGORITHMS FOR AUDIO WATERMARKING AND STEGANOGRAPHY

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Ebook:
ALGORITHMS FOR AUDIO WATERMARKING AND STEGANOGRAPHY


Contents
Abstract
Preface
List of Contributions
Symbols and Abbreviations
Contents
1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17
1.1 Scope of research . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19
1.1.1 Application areas . . . . . . . . . . . . . . . . . . . . . . . . . . 19
1.1.2 Research areas . . . . . . . . . . . . . . . . . . . . . . . . . . . 22
1.2 Problem statement . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24
1.2.1 Research problem . . . . . . . . . . . . . . . . . . . . . . . . . . 24
1.2.2 Research hypothesis . . . . . . . . . . . . . . . . . . . . . . . . 25
1.2.3 Research assumptions . . . . . . . . . . . . . . . . . . . . . . . 25
1.2.4 Research methods . . . . . . . . . . . . . . . . . . . . . . . . . 25
1.3 Outline of the thesis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26
2 Literature survey . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27
2.1 Overview of the properties of the HAS . . . . . . . . . . . . . . . . . . . 28
2.1.1 Frequency masking . . . . . . . . . . . . . . . . . . . . . . . . . 28
2.1.2 Temporal masking . . . . . . . . . . . . . . . . . . . . . . . . . 30
2.2 General concept of watermarking . . . . . . . . . . . . . . . . . . . . . . 31
2.2.1 A general model of digital watermarking . . . . . . . . . . . . . 31
2.2.2 Statistical modeling of digital watermarking . . . . . . . . . . . . 33
2.2.3 Decoding and detection performance evaluation . . . . . . . . . . 34
2.2.3.1 Watermark decoding . . . . . . . . . . . . . . . . . . . 35
2.2.3.2 Watermark detection . . . . . . . . . . . . . . . . . . . 36
2.2.4 Exploiting side information during watermark embedding . . . . 37
2.2.5 The information theoretical approach to digital watermarking . . 39
2.3 Selected audio watermarking algorithms . . . . . . . . . . . . . . . . . . 40
2.3.1 LSB coding . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40
2.3.2 Watermarking the phase of the host signal . . . . . . . . . . . . . 41
2.3.3 Echo hiding . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42
2.3.4 Spread spectrum watermarking . . . . . . . . . . . . . . . . . . . 43
2.3.5 Improved spread spectrum algorithm . . . . . . . . . . . . . . . 45
2.3.6 Methods using patchwork algorithm . . . . . . . . . . . . . . . . 48
2.3.7 Methods using various characteristics of the host audio . . . . . . 49
2.4 Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50
3 High capacity covert communications . . . . . . . . . . . . . . . . . . . . . . 51
3.1 High data rate information hiding using LSB coding . . . . . . . . . . . . 52
3.1.1 Proposed high data rate LSB algorithm . . . . . . . . . . . . . . 53
3.2 Perceptual entropy of audio . . . . . . . . . . . . . . . . . . . . . . . . . 56
3.2.1 Calculation of the perceptual entropy . . . . . . . . . . . . . . . 57
3.3 Capacity of the data-hiding channel . . . . . . . . . . . . . . . . . . . . 58
3.4 Proposed high data rate algorithm in wavelet domain . . . . . . . . . . . 60
3.5 Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63
4 Spread spectrum audio watermarking in time domain . . . . . . . . . . . . . . 65
4.1 Communications model of the watermarking systems . . . . . . . . . . . 65
4.1.1 Components of the communications model . . . . . . . . . . . . 66
4.1.2 Models of communications channels . . . . . . . . . . . . . . . . 67
4.1.3 Secure data communications . . . . . . . . . . . . . . . . . . . . 67
4.1.4 Communication-based models of watermarking . . . . . . . . . . 69
4.2 Communications model of spread spectrum watermarking . . . . . . . . 71
4.3 Spread spectrum watermarking algorithm in time domain . . . . . . . . . 73
4.4 Increasing detection robustness with perceptual weighting and redundant
embedding . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 76
4.5 Improved watermark detection using decorrelation of the watermarked audio 78
4.5.1 Optimal watermark detection . . . . . . . . . . . . . . . . . . . . 79
4.6 Increased detection robustness using channel coding . . . . . . . . . . . . 81
4.6.1 Channel coding with turbo codes . . . . . . . . . . . . . . . . . . 82
4.7 Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 83
5 Increasing robustness of embedded watermarks using attack characterization . . 85
5.1 Embedding in coefficients of known robustness - attack characterization . 86
5.2 Attack characterization for spread spectrum watermarking . . . . . . . . 87
5.2.1 Novel principles important for attack characterization implementation
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 88
5.3 Watermark channel modeling using Rayleigh fading channel model . . . 89
5.4 Audio watermarking algorithm with attack characterization . . . . . . . . 91
5.5 Improved attack characterization procedure . . . . . . . . . . . . . . . . 93
5.6 Attack characterization section in an improved spread spectrum scheme . 94
5.7 Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 98
6 Conclusions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 99
References

dally

Thanks you!

dally

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bryanbn

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f7_0

got it

aresc

谢谢分享

virsim

矩阵分析与应用

haoxchao828

谢谢分享！！！

haoxchao828

多谢分享！！！！

haoxchao828

多谢分享！！！！