{"title":"基于小波分析的音频数字水印算法","authors":"Jie-Chang Wen","doi":"10.1109/CIS.WORKSHOPS.2007.133","DOIUrl":null,"url":null,"abstract":"This article mainly researches on the principle of digital audio signal embedded watermarking and the usage of wavelet transform to realize the audio digital watermark embedding and extracting algorithm. This algorithm has good stealth and robustness. The influence of embedded watermarking on the original audio signal can not be found by human perceptual system and can resist the general signal attack.","PeriodicalId":409737,"journal":{"name":"2007 International Conference on Computational Intelligence and Security Workshops (CISW 2007)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Audio Digital Watermarking Algorithm Based on Wavelet Analysis\",\"authors\":\"Jie-Chang Wen\",\"doi\":\"10.1109/CIS.WORKSHOPS.2007.133\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This article mainly researches on the principle of digital audio signal embedded watermarking and the usage of wavelet transform to realize the audio digital watermark embedding and extracting algorithm. This algorithm has good stealth and robustness. The influence of embedded watermarking on the original audio signal can not be found by human perceptual system and can resist the general signal attack.\",\"PeriodicalId\":409737,\"journal\":{\"name\":\"2007 International Conference on Computational Intelligence and Security Workshops (CISW 2007)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-12-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2007 International Conference on Computational Intelligence and Security Workshops (CISW 2007)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CIS.WORKSHOPS.2007.133\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 International Conference on Computational Intelligence and Security Workshops (CISW 2007)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CIS.WORKSHOPS.2007.133","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Audio Digital Watermarking Algorithm Based on Wavelet Analysis
This article mainly researches on the principle of digital audio signal embedded watermarking and the usage of wavelet transform to realize the audio digital watermark embedding and extracting algorithm. This algorithm has good stealth and robustness. The influence of embedded watermarking on the original audio signal can not be found by human perceptual system and can resist the general signal attack.