DocumentCode
2449329
Title
Radon transform and DWT based audio watermarking algorithm against DA/AD conversion
Author
Li, Cairong ; Hu, Ruimin ; Zeng, Wei
Author_Institution
Fac. of History & Culture, Hubei Univ., Wuhan, China
fYear
2012
fDate
16-18 July 2012
Firstpage
282
Lastpage
286
Abstract
Audio watermarking has become an important technology for the intellectual property protection. For numerous applications, such as cinema and concert situation, watermarks surviving noisy analog environments are better suited or even required. This paper discusses the robustness of digital audio watermarking algorithms against digital-to-analogue (D/A) and analogue-to-digital (A/D) conversions. Based on discrete wavelet decomposition, the chirp signal is introduced as watermarking bits and the radon transform of time-frequency distribution of wavelet coefficients is also considered. Then the relationship of statistical radon moment in two adjacent wavelet sub-bands is utilized to embed watermarking bits. Experimental results show that the proposed algorithm can resist on the attack of DA and AD conversion with lower bit error and higher capacity. The proposed method could also be against common signal processing and MPEG compression attack, which show its good prospect in real application.
Keywords
Radon transforms; analogue-digital conversion; audio streaming; audio watermarking; digital-analogue conversion; discrete wavelet transforms; time-frequency analysis; DA-AD conversion; DWT-based audio watermarking algorithm; MPEG compression attack; Radon transform; analogue-to-digital conversions; audio watermarking; chirp signal; cinema; concert situation; digital audio watermarking algorithm; digital-to-analogue conversions; discrete wavelet decomposition; intellectual property protection; statistical radon moment; time-frequency distribution; watermarking bits; wavelet coefficients; Chirp; Robustness; Signal processing algorithms; Time frequency analysis; Watermarking; Wavelet transforms;
fLanguage
English
Publisher
ieee
Conference_Titel
Audio, Language and Image Processing (ICALIP), 2012 International Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-4673-0173-2
Type
conf
DOI
10.1109/ICALIP.2012.6376626
Filename
6376626
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