Research Of Digital Audio Watermarking Based On Wavelet Tranform

The digital media has become a main way for information communication along with the rapid development of digital technology and computer networks. However, the currently rapid development of digital signal processing and Internet transmission techniques have threatened the copyright of digital data severely. Therefore how to effectively protect the copyright of digital products in an open network environment becomes an attractive topic. Digital watermark is the most active of the hiding technologies. The technology embeds some data into a carrier data, and this data can be checked with some methods.This article discusses is the application information hideaway technology theory, increases the digital watermark in the sound document the technology. First, this article introduced digital watermark question statement and the correlation concept, elaborated this topic research background and the significance. Next, elaborated the audio frequency numeral watermark algorithm basic principle, the model and the realization process. Then, in analyzes predecessor's work and in the current watermark development condition foundation, the present paper through the analysis numeral audio frequency watermark and the human sense of hearing system characteristic, proposed one kind based on the wavelet transformation digital audio frequency watermark algorithm.This kind of audio frequency watermark algorithm is one kind transforms (DWT) based on the separate wavelet the audio frequency watermark algorithm. This algorithm first treats the inserting watermark the numeral tonic train signaling to carry on a minute frame, the sectionalization pretreatment, again chooses each frame first two to carry on the separate wavelet transformation, carries on the energy contrast according to the human sense of hearing system time domain masking effect to find the inserting spot, carries on the data inserting. When this algorithm inserting watermark not directly inserts the image, but is carries on first to the image falls Uygur to pretreat, after the image sequence inserts the pretreatment to the tonic train signaling in, Has carried on the subjective appraisal and the objective data analysis through the experiment to its performance, inspected the watermark transparent attack robustness, the experiment had proven, the above algorithm had the strong toughness, the good transparency, the extraction watermark was the blind watermark extraction, could undergo the increase noise, the heavy sampling, the low pass filter, again the quantification, the audio frequency format conversion and so on the common signal processing and the attack.