Development of high-quality digital audio watermarking with robustness to data compression and watermark attacks such as cropping is an important research topic. Recently, an effective watermarking method using vector...
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Development of high-quality digital audio watermarking with robustness to data compression and watermark attacks such as cropping is an important research topic. Recently, an effective watermarking method using vector quantization index modulation (VQIM) was proposed to improve the watermark performance. In this paper, a new auditory-band MDCT-based VQIM-type watermarking using audio fingerprint (AFP) is proposed to enhance the performance. The parameter values of VQIM are essential for audio quality and robustness, which are determined as individual codebook parameters. The parameters are estimated using AFP in the watermark detection process. In simulations, the effectiveness of the method was examined to show its robustness to watermark attacks. The audio quality was evaluated based on PEAQ.
In this paper, a digital watermarking system based on vectorquantization is presented. Each vector containing N samples is mapped on the surface of the hyperspheres each of which are associated with a message to embe...
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ISBN:
(纸本)9781424414833
In this paper, a digital watermarking system based on vectorquantization is presented. Each vector containing N samples is mapped on the surface of the hyperspheres each of which are associated with a message to embed the digital watermark. We called this method vector quantization index modulation (VQIM) since it is conventional QIM in the N-dimensional space. The performance of the method and its comparison to orthogonal code-based watermarking is investigated. Furthermore, we implemented the VQIM method on a real audio watermarking system and adopted it with the human auditory system. The experimental results show the robustness of this scheme against common attacks in audio watermarking such as MP3 compression, lowpass filtering, resampling etc.
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