Digital Watermarking Algorithm For Audio Data Of VDR

With the extensive development and application of digital information, people pay more attention to copyright protection. Own the copyright to them not only bring substantial business interests; more important is that copyright protection is also a kind of respect for the right person.This paper is the study of audio digital watermarking. As the human auditory system is more sensitive than the senses, some small noise will also be identified from, so now for audio digital watermarking research is far behind the images and video.In this article, we not only proposed an improved wavelet transform domain watermark embedding and extraction algorithms, but also special attention to transformation in the cepstral domain, after a complex Cepstrum Cepstrum coefficients of independence and energy mainly concentrated in the vicinity of zero and other properties. The nature of the audio digital watermarking for the study of great help, and the existing literature on the complex cepstrum transform used in digital watermarking research little. Therefore, this article says more in-depth discussion of the transformation in the cepstral domain audio digital watermarking algorithm, but also according to the good nature of the cepstral coefficients the algorithm proposed improvements. Experiments proved that this algorithm not only solves the previous wavelet transform domain, in the audio at the beginning of a long section of the zero value of the signal to make the algorithm into an infinite loop of the special circumstances, and further confirmed its robustness than the effect of wavelet domain algorithm better.Finally, based on the actual project Voyage Data Recorder (VDR) of the need to further improve the Cepstrum domain audio digital watermarking algorithm, it has a self-adaptive characteristics. In other words, according to the size of the audio signal energy to decide whether the watermark embedding in this location.This paper discusses the theoretical and experimental simulation of the improved wavelet transform domain algorithm, the improved cepstrum transform domain algorithm and the improved cepstrum transform domain adaptive algorithm, parameters contrast and image description. Experiments have shown that this three kinds of improved algorithms have good transparency and robustness, can be applied to life practice.