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Since The Theories And Methods Of Synchronous Digital Audio Two-dimensional Watermark

Posted on:2006-05-13Degree:MasterType:Thesis
Country:ChinaCandidate:Y R CuiFull Text:PDF
GTID:2208360155464367Subject:Computer application technology
Abstract/Summary:PDF Full Text Request
With the rapid development of the network (especially Internet) and multimedia technique, Digital information has been transmitted and used more frequently and widely. The success of the digital representation of analog media is mainly due to properties like simple noise-free transmission over general-purpose channels, compact storage, perfect copying, and simple editing. Not only various advantages of the new digital technology have been realized, but also several drawbacks. Most problems with digital media are related to intellectual property rights and trustworthiness of the content. The traditional encrypt technique could only provide the incomprehensive protection, not being safe enough and circulating freely. Digital Watermarking is one efficient approach to enforce copyrights or to ensure the integrity of digital media. It is considered as the imperceptible, robust, secure communication of information by embedding it in and retrieving it from other digital data. Digital audio watermarking is one of its branches. Current research of audio watermarking is mainly focusing on the theoretic algorithm. Requirements for audio watermark are different according to different application. For the research of audio watermarking, many algorithms have been put forward. But the questions of synchronization and 2-Dimension gray watermark are of little attention. For the above questions, this paper promotes a new 2-dimension audio watermarking algorithm based on integer wavelet transform, in which the gray image (2-dimension digital watermark) can be embedded into the host audio signal. Experimental results show that the proposed watermarking scheme is inaudible and robust against various signal processing such as re-sampling, re-quantifying, low pass filtering, mp3 compression, and noising adding.  Then, a new synchronization audio watermarking algorithm is presented in this paper. It embeds the position information of the watermark image into host audio signal by treating the salient points as the position flag through the analysis of the audio signal's feature to resist against the synchronization attack. Experimental results show that the proposed watermarking scheme is robust against synchronization attack and general signal processing.
Keywords/Search Tags:Digital audio watermarking, Integer wavelet transform, gray image, self-synchronization, salient point.
PDF Full Text Request
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