Y. Bai, Sen Bai, Guibin Zhu, Chunyan You, Bowen Liu
{"title":"基于FFT系数量化的盲音频水印算法","authors":"Y. Bai, Sen Bai, Guibin Zhu, Chunyan You, Bowen Liu","doi":"10.1109/ICAIE.2010.5640958","DOIUrl":null,"url":null,"abstract":"A blind audio watermarking algorithm based on Fast Fourier Transform(FFT) coefficients quantization is proposed. In order to resist MP3 compression, the area of the entire host audio signal for embedding watermark is designated by adaptive adjustment. Then the designated area is separated to segments and every segment is transformed into frequency domain by FFT. The DC coefficient of every segment which is insensitive to the human auditory system(HAS) and has the biggest hearing margin is selected. Finally, the watermark is embedded according to quantization algorithm. The experimental results show that the watermarked audio signal is not only imperceptible, but also robust against various common signal processing attacks, such as additive noise, low-pass filtering, resampling, echo and MP3 compression.","PeriodicalId":216006,"journal":{"name":"2010 International Conference on Artificial Intelligence and Education (ICAIE)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":"{\"title\":\"A blind audio watermarking algorithm based on FFT coefficients quantization\",\"authors\":\"Y. Bai, Sen Bai, Guibin Zhu, Chunyan You, Bowen Liu\",\"doi\":\"10.1109/ICAIE.2010.5640958\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A blind audio watermarking algorithm based on Fast Fourier Transform(FFT) coefficients quantization is proposed. In order to resist MP3 compression, the area of the entire host audio signal for embedding watermark is designated by adaptive adjustment. Then the designated area is separated to segments and every segment is transformed into frequency domain by FFT. The DC coefficient of every segment which is insensitive to the human auditory system(HAS) and has the biggest hearing margin is selected. Finally, the watermark is embedded according to quantization algorithm. The experimental results show that the watermarked audio signal is not only imperceptible, but also robust against various common signal processing attacks, such as additive noise, low-pass filtering, resampling, echo and MP3 compression.\",\"PeriodicalId\":216006,\"journal\":{\"name\":\"2010 International Conference on Artificial Intelligence and Education (ICAIE)\",\"volume\":\"11 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-11-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"11\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 International Conference on Artificial Intelligence and Education (ICAIE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICAIE.2010.5640958\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 International Conference on Artificial Intelligence and Education (ICAIE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAIE.2010.5640958","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A blind audio watermarking algorithm based on FFT coefficients quantization
A blind audio watermarking algorithm based on Fast Fourier Transform(FFT) coefficients quantization is proposed. In order to resist MP3 compression, the area of the entire host audio signal for embedding watermark is designated by adaptive adjustment. Then the designated area is separated to segments and every segment is transformed into frequency domain by FFT. The DC coefficient of every segment which is insensitive to the human auditory system(HAS) and has the biggest hearing margin is selected. Finally, the watermark is embedded according to quantization algorithm. The experimental results show that the watermarked audio signal is not only imperceptible, but also robust against various common signal processing attacks, such as additive noise, low-pass filtering, resampling, echo and MP3 compression.