Title :
The dual-channel double audio watermarking algorithm based on LWT
Author :
Xue-song Chen ; Hai-man Chen ; Hong-bo Bi
Author_Institution :
Electr. & Inf. Eng. Coll., Northeast Pet. Univ., Daqing, China
Abstract :
An algorithm is proposed about a dual channel and double audio digital watermarking based on the lifting wavelet transform (LWT) in this paper. First, a dual channel audio is selected, the left and right channel is extracted, and the left and right channel is decomposed on LWT3. The difference of the left and right channel is selected as the first watermarking on LWT3 in the low frequency. An image is selected as the second watermarking. Then the embedding position is chosen and the watermarking is embedded adaptively into the left and right channel. The double watermark embedding and extracting algorithm is implemented. Experimental results show that the algorithm has strong robustness for many kinds of attacks such as noise, low pass and so on.
Keywords :
audio watermarking; feature extraction; wavelet transforms; LWT3; double audio digital watermarking; double watermark embedding algorithm; dual channel audio; dual channel digital watermarking; embedding position; left channel; lifting wavelet transform; right channel; watermark extracting algorithm; Algorithm design and analysis; Educational institutions; Robustness; Signal to noise ratio; Watermarking; Wavelet transforms; the double watermarking; the dual channel; the lifting wavelet transform;
Conference_Titel :
Measurement, Information and Control (ICMIC), 2013 International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4799-1390-9
DOI :
10.1109/MIC.2013.6758163
