{"title":"小波域自适应鲁棒音频水印","authors":"M. Pooyan, A. Delforouzi","doi":"10.1109/IIH-MSP.2007.68","DOIUrl":null,"url":null,"abstract":"This paper presents a robust method of audio watermarking in the wavelet domain. In this method, the watermarked data is encrypted, then combined with a synchronization code and embedded in low- frequency coefficients of wavelet transform. In this paper two techniques of quantization are employed for data embedding process. The magnitude of quantization step and embedding strength is adaptively determined according to the characteristics of the human auditory system (HAS). Therefore data embedding distortion is imperceptible for human ears. The experimental results show that the proposed watermarking scheme is transparence and very robust against common attacks such as additive Gaussian noise, low-pass filtering, resampling, requantization, shifting, cropping and MPEG compression.","PeriodicalId":385132,"journal":{"name":"Third International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2007)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"24","resultStr":"{\"title\":\"Adaptive and Robust Audio watermarking in Wavelet Domain\",\"authors\":\"M. Pooyan, A. Delforouzi\",\"doi\":\"10.1109/IIH-MSP.2007.68\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a robust method of audio watermarking in the wavelet domain. In this method, the watermarked data is encrypted, then combined with a synchronization code and embedded in low- frequency coefficients of wavelet transform. In this paper two techniques of quantization are employed for data embedding process. The magnitude of quantization step and embedding strength is adaptively determined according to the characteristics of the human auditory system (HAS). Therefore data embedding distortion is imperceptible for human ears. The experimental results show that the proposed watermarking scheme is transparence and very robust against common attacks such as additive Gaussian noise, low-pass filtering, resampling, requantization, shifting, cropping and MPEG compression.\",\"PeriodicalId\":385132,\"journal\":{\"name\":\"Third International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2007)\",\"volume\":\"25 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-11-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"24\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Third International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2007)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IIH-MSP.2007.68\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Third International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2007)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IIH-MSP.2007.68","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Adaptive and Robust Audio watermarking in Wavelet Domain
This paper presents a robust method of audio watermarking in the wavelet domain. In this method, the watermarked data is encrypted, then combined with a synchronization code and embedded in low- frequency coefficients of wavelet transform. In this paper two techniques of quantization are employed for data embedding process. The magnitude of quantization step and embedding strength is adaptively determined according to the characteristics of the human auditory system (HAS). Therefore data embedding distortion is imperceptible for human ears. The experimental results show that the proposed watermarking scheme is transparence and very robust against common attacks such as additive Gaussian noise, low-pass filtering, resampling, requantization, shifting, cropping and MPEG compression.