Digital Audio Asymmetric Watermarking Algorithm Based on Neural Networks in the Wavelet Domain

摘要：

Digital audio watermarking is embedded inaudible information into digiital audio data for the purposes of copyright protection,ownershiP verificatioIl,covert communication,and/or auxiliary data carrying.A new digital audio watermarking algorithm is proposed in this paper,which based on Neural Networks and in the Wavelet Domain.The watermark is constructed by utilizing still image and embedded into the significant wavelet coefficients of a digital audio signal.The weights of the neural networks are regulated till the relationship between the host digital audio and the watermark is approximated in the process of watermark being embedded.When compared with other algorithms.it performs watermark detection without the participation of the original digital audio and also has the advantages of transparency,low computational complexity andhigh robustness.

关键词： asymmetric watermarking neural networks wavelet

作者: Guoxia Liu Jianming Liao Xiang Zhang Guoming Lu Ping Kuang

会议类型: 国际会议

会议名称: The International Conference Information Computing and Automation(2007国际信息计算与自动化会议)

会议地点: 成都

会议语种:英文

页码: 1194-1197

在线出版日期: 2007-12-19（万方平台首次上网日期，不代表论文的发表时间）