Audio Zero-Watermark Scheme Based on Discrete Cosine Transform-Discrete Wavelet TransformSingular Value Decomposition
Audio Zero-Watermark Scheme Based on Discrete Cosine Transform-Discrete Wavelet TransformSingular Value Decomposition作者机构:Information Security CenterBeijing University of Posts and TelecommunicationsBeijingChina Nanjing University of Information Science&Technology(NUIST)NanjingChina National Computer Network Emergency Response Technical Team/Coordination Center of China Information Engineering School of Beijing Institute of Graphic CommunicationBeijingChina Information Science&TechnologyNorthwest UniversityXi'anChina
出 版 物:《China Communications》 (中国通信(英文版))
年 卷 期:2016年第13卷第7期
页 面:117-121页
核心收录:
学科分类:0839[工学-网络空间安全] 08[工学] 081201[工学-计算机系统结构] 0812[工学-计算机科学与技术(可授工学、理学学位)]
基 金:supported by the Open Foundation of Jiangsu Engineering Center of Network Monitoring(Nanjing University of Information Science&Technology)(Grant No.KJR1509) the PAPD fund the CICAEET fund
主 题:zero watermark discrete wavelet transform discrete cosine transform singular value decomposition
摘 要:Traditional watermark embedding schemes inevitably modify the data in a host audio signal and lead to the degradation of the host *** this paper,a novel audio zero-watermarking algorithm based on discrete wavelet transform(DWT),discrete cosine transform(DCT),and singular value decomposition(SVD) is *** watermark is registered by performing SVD on the coefficients generated through DWT and DCT to avoid data modification and host signal *** results show that the proposed zero-watermarking algorithm is strongly robust to common signal processing methods such as requantization,MP3 compression,resampling,addition of white Gaussian noise,and low-pass filtering.