{"title":"Digital audio steganography using DWT with reduced embedding error and better extraction compared to DCT","authors":"S. Nehete, S. Sawarkar, M. Sohani","doi":"10.1145/1980022.1980059","DOIUrl":null,"url":null,"abstract":"The proposed system showed high hiding rates with reasonable imperceptibility compared to other steganographic systems, DCT and better audio quality. The results shown gives detail comparison between DWT and DCT. In this paper a novel method for digital audio Steganography with security i. e. cryptography is presented where covert data is embedded into the coefficients of host audio (cover signal) in integer wavelet domain using quantization to reduce embedding error. Performance analysis based on quantization and wavelet decomposition is explained in result section. The characteristics of this method are imperceptibility, robustness, large payload, high audio quality and full recovery.","PeriodicalId":197580,"journal":{"name":"International Conference & Workshop on Emerging Trends in Technology","volume":"284 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference & Workshop on Emerging Trends in Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1980022.1980059","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8
Abstract
The proposed system showed high hiding rates with reasonable imperceptibility compared to other steganographic systems, DCT and better audio quality. The results shown gives detail comparison between DWT and DCT. In this paper a novel method for digital audio Steganography with security i. e. cryptography is presented where covert data is embedded into the coefficients of host audio (cover signal) in integer wavelet domain using quantization to reduce embedding error. Performance analysis based on quantization and wavelet decomposition is explained in result section. The characteristics of this method are imperceptibility, robustness, large payload, high audio quality and full recovery.