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Research on Audio Digital Watermarking Based on Energy Difference of Wavelet Coefficients

Author: PiBingFeng
Tutor: LuHongWei
School: Huazhong University of Science and Technology
Course: Computer System Architecture
Keywords: Audio Digital Watermarking Discrete Wavelet Transform Zero - digital watermarking Linear scaling
CLC: TP309.7
Type: Master's thesis
Year: 2007
Downloads: 65
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Abstract


Digital watermark technology digital products copyright protection and data security maintenance as an effective international a leading issue in the field of information security . Digital watermark technology watermark embedding process , most of the changes the original digital works , makes digital watermarking robustness and imperceptibility inevitably clashed . Therefore, I hope that does not modify the original information in the embedded watermark , to further enhance the digital watermark robustness and imperceptibility . Discuss basic audio digital watermarking algorithm works and its strengths and weaknesses based on intuitive binary image as a watermark to the audio data as an embedded object , given two discrete wavelet transform domain - based audio digital watermarking algorithm . One method is the audio information after the sub-frame , the discrete wavelet transform, to appropriately modify the details coefficient components and approximation coefficient components , using the magnitude relation of the energy difference of the frequency coefficients in each frame , to embed the watermark information, to improve the robustness of the watermark . This method can achieve the blind watermark detection , simulation experiments show that the algorithm has a certain robustness of the low-pass filter , weight , echo interference . Designed for the destruction of most of the digital watermark embedding process to the audio file , a \First original audio signal wavelet decomposition , by choosing an appropriate threshold value , according to the approximation coefficient components and details of the coefficient component of the energy of the difference with the threshold value of the size relationship , to achieve the watermark information is \sexual telescopic recovery to eliminate the impact of linear scaling on the timeline . Proved by experiments, the operation and the attack of the algorithm on a variety of audio file , such as low-pass filtering , resampling , weight , echo interference , MPEG encoding , etc. have good robustness .

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > General issues > Security and confidentiality > Encryption and decryption
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