{"title":"The dual-channel double audio watermarking algorithm based on LWT","authors":"Xue-song Chen, Hai-man Chen, Hong-bo Bi","doi":"10.1109/MIC.2013.6758163","DOIUrl":null,"url":null,"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.","PeriodicalId":404630,"journal":{"name":"Proceedings of 2013 2nd International Conference on Measurement, Information and Control","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of 2013 2nd International Conference on Measurement, Information and Control","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MIC.2013.6758163","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
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.