臺灣博碩士論文加值系統

處在資訊科技蓬勃發展的時代，數位資訊在網路上十分容易取得，經由網路，我們有時可以不需經原作者同意即取得原始資料文件，並且任意的複製（copy）、修改（modification），不知不覺中侵害了原作者的權益，故智慧財產權（copyright）、資訊安全（security）等課題逐漸受到重視。也因此，數位浮水印技術可說是近年來頗熱門的一個研究課題。
浮水印技術研究主要以影像和視訊為主。一般來說，人類視覺對影像和視訊內容有較大的容忍度，嵌入浮水印資訊的影像和視訊品質基本上是可以被接受的。但人類聽覺系統就不同了，對於音訊品質的改變，往往無法通過人耳這一關，故聲音浮水印技術一直都是難度較高的研究課題。
耳朵雖然能分辨出聲音的大小與高低，但是對極其細微的聲音變化，是無法察覺的，這也是聲音浮水印技術可以著墨的地方。本篇論文主要將數位浮水印資訊隱藏於最低頻帶部份。嵌入一個灰階影像於音訊資料的低頻帶區，經過壓縮或noise破壞攻擊後，再萃取出灰階影像與原始影像做比較。實驗得知此技術有相當好的強健性 ( Robustness) 與透通性 ( Transparency ) 。

In audio signals, with the widespread use of Internet and proliferation of digital audio distribution in MP3 form make the copyright protection of digital audio works more and more important. In this thesis, a DWT-based digital audio watermarking is proposed. With the Discrete Wavelet Transform（DWT）, the audio signal can be transformed into frequency domain ranging from low frequency to high frequency. Besides, the high frequency spectrum is less sensitive to human ear. That is the reason why the high frequency component is usually discarded in the compression process. Therefore, information to be hidden can be embedded into the low frequency component to against the compression attack.
In our experiments, the logo of National Dong Hwa University (NDHU) is embedded into an audio signal. The performance of the proposed technique is evaluated by the normalized correlation between the original logo and the extracted one. Experiment results show that the proposed algorithm is robust to the compression and noise attacks.

摘要
第一章 簡介
第二章 背景和相關研究
第三章 植基於離散小波轉換之聲音浮水印技術
第四章 實驗結果
第五章 結論與未來研究方向
參考文獻

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