We present a novel quantization-based digital audio walermarking scheme inwavelet domain. By quantizing a host audio's wavelet coefficients (Integer Lifting WaveletTransform) and utilizing the characteristics of h...We present a novel quantization-based digital audio walermarking scheme inwavelet domain. By quantizing a host audio's wavelet coefficients (Integer Lifting WaveletTransform) and utilizing the characteristics of human auditory system (HAS), the grayimage isembedded using our watermarking method. Experimental results show that the proposed watermarkingscheme is inaudible and robust against various signal processing such as noising adding, lossycompression, low pass filtering, re-sampling, and re-quantifying.展开更多
A high capacity data hiding technique was developed for compressed digital audio. As perceptual audio coding has become the accepted technology for storage and transmission of audio signals, compressed audio informati...A high capacity data hiding technique was developed for compressed digital audio. As perceptual audio coding has become the accepted technology for storage and transmission of audio signals, compressed audio information hiding enables robust, imperceptible transmission of data within audio signals, thus allowing valuable information to be attached to the content, such as the song title, lyrics, composer＇s name, and artist or property rights related data. This paper describes simultaneous low bitrate encoding and information hiding for highly compressed audio signals. The information hiding is implemented in the quan- tization process of the audio content which improves robustness, signal quality, and security. The impercep- tibility of the embedded data is ensured based on the masking property of the human auditory system （HAS） The robustness and security are evaluated by various attacking algorithms. Tests with an extended MPEG4 advanced audio coding （AAC） encoder confirm that the method is robust to the regular and singular groups method （RS） and sample pair analysis （SPA） attacks as well as other statistical steganalysis method attacks.展开更多
文摘We present a novel quantization-based digital audio walermarking scheme inwavelet domain. By quantizing a host audio's wavelet coefficients (Integer Lifting WaveletTransform) and utilizing the characteristics of human auditory system (HAS), the grayimage isembedded using our watermarking method. Experimental results show that the proposed watermarkingscheme is inaudible and robust against various signal processing such as noising adding, lossycompression, low pass filtering, re-sampling, and re-quantifying.
基金Supported by the Chuanxin Foundation (No. 110109001)the Basic Research Foundation of Tsinghua National Laboratory for Information Science and Technology (TNList)
文摘A high capacity data hiding technique was developed for compressed digital audio. As perceptual audio coding has become the accepted technology for storage and transmission of audio signals, compressed audio information hiding enables robust, imperceptible transmission of data within audio signals, thus allowing valuable information to be attached to the content, such as the song title, lyrics, composer＇s name, and artist or property rights related data. This paper describes simultaneous low bitrate encoding and information hiding for highly compressed audio signals. The information hiding is implemented in the quan- tization process of the audio content which improves robustness, signal quality, and security. The impercep- tibility of the embedded data is ensured based on the masking property of the human auditory system （HAS） The robustness and security are evaluated by various attacking algorithms. Tests with an extended MPEG4 advanced audio coding （AAC） encoder confirm that the method is robust to the regular and singular groups method （RS） and sample pair analysis （SPA） attacks as well as other statistical steganalysis method attacks.
