{"title":"Statistical audio watermarking algorithm based on perceptual analysis","authors":"Xiaomei Quan, Hongbin Zhang","doi":"10.1145/1102546.1102565","DOIUrl":null,"url":null,"abstract":"In this paper, we describe a novel statistical audio watermarking scheme. Under the control of the masking thresholds, watermark is embedded adaptively and transparently in the perceptual significant portions in wavelet packet domain by a statistical method. Watermark detection can be done without access to the original signal. Experimental results show the proposed scheme can survive common signal manipulations and malicious attacks.","PeriodicalId":124354,"journal":{"name":"ACM Digital Rights Management Workshop","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACM Digital Rights Management Workshop","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1102546.1102565","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
In this paper, we describe a novel statistical audio watermarking scheme. Under the control of the masking thresholds, watermark is embedded adaptively and transparently in the perceptual significant portions in wavelet packet domain by a statistical method. Watermark detection can be done without access to the original signal. Experimental results show the proposed scheme can survive common signal manipulations and malicious attacks.
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