音頻信號(hào)的數(shù)字水印技術(shù)

電子通信論文編號(hào):TX087       論文字?jǐn)?shù):12763,頁(yè)數(shù):32

目  錄
1緒論   1
1.1 數(shù)字水印   1
1.1.1 數(shù)字水印的概念   1
1.1.2 數(shù)字水印的特性   1
1.2 音頻數(shù)字水印的概念和模型   1
1.3 音頻水印的基本知識(shí)和相關(guān)參數(shù)  2
1.4 音頻水印算法的要求  3
1.5 音頻數(shù)字水印的典型應(yīng)用    4
1.6 論文主要內(nèi)容  4
2數(shù)字音頻水印技術(shù)  5
2.1 數(shù)字音頻的基本知識(shí)   5
2.1.1 音頻信號(hào)的數(shù)字化   5
2.1.2 WAVE文件數(shù)據(jù)格式   5
2.1.3 音頻信號(hào)的幾個(gè)參數(shù)  6
2.1.4 聲壓與聲壓級(jí)  6
2.1.5 混響和回聲  6
2.1.6 人類聽(tīng)覺(jué)系統(tǒng)模型   8
2.2 常見(jiàn)的數(shù)字音頻水印技術(shù)  9
2.2.1 變換域算法  9
2.2.2 相位編碼法   10
2.2.3 最低有效位(LSB)方法   11
2.2.4 回聲隱藏算法    11
2.2.5 時(shí)間標(biāo)度修改  12
2.3 小結(jié)數(shù)字音頻水印的發(fā)展  13
3基于回聲隱藏的音頻數(shù)字水印技術(shù)   14
3.1 回聲隱藏的基本原理   14
3.2 回聲隱藏的具體算法和實(shí)現(xiàn)   14
3.3 音頻中水印信息的提取  15
3.4 系統(tǒng)仿真及分析   15
3.5改進(jìn)的算法   19
3.6 攻擊測(cè)試與分析  21
3.7 回聲隱藏算法小結(jié)   22
3.8 仿真實(shí)驗(yàn)中用到的部分Matlab函數(shù)  23
4論文總結(jié)和展望  25
參考文獻(xiàn)  26
致  謝  28

摘  要
多媒體技術(shù)和網(wǎng)絡(luò)技術(shù)的廣泛應(yīng)用，使得對(duì)圖像、音頻、視頻等多媒體內(nèi)容的保護(hù)成為迫切需要解決的問(wèn)題。數(shù)字水印技術(shù)作為版權(quán)保護(hù)的重要手段，正得到深入的研究。它包含了版權(quán)信息和著作權(quán)信息，保護(hù)數(shù)字產(chǎn)品合法的復(fù)制和傳播，已成為學(xué)術(shù)界的研究熱點(diǎn)。由于人類聽(tīng)覺(jué)系統(tǒng)比人類視覺(jué)系統(tǒng)更為敏感，數(shù)字音頻水印比起數(shù)字圖像和視頻水印更面臨挑戰(zhàn)。
論文首先介紹了數(shù)字水印系統(tǒng)的概念，然后討論了數(shù)字音頻水印系統(tǒng)的特點(diǎn)、典型應(yīng)用和要求，比較了經(jīng)典的數(shù)字音頻水印技術(shù)，如變換域算法、相位編碼算法和最低有效位算法。接著論文介紹了音頻信號(hào)的基本特征，詳細(xì)論述了基于回聲隱藏的數(shù)字音頻水印技術(shù)的原理和實(shí)現(xiàn)方案。首先將二值的水印的圖像轉(zhuǎn)換成一維序列，接著將音頻信號(hào)分幀，幀數(shù)是水印圖像的長(zhǎng)度。然后將音頻信號(hào)分別與回聲核卷積，完成水印嵌入過(guò)程。算法利用同態(tài)處理的復(fù)倒譜分析實(shí)現(xiàn)水印的提取。仿真實(shí)驗(yàn)證明該算法具有一定的魯棒性。

關(guān)鍵詞：版權(quán)保護(hù)，數(shù)字音頻水印，人類聽(tīng)覺(jué)系統(tǒng)，回聲隱藏，復(fù)倒譜，魯棒性

Abstract
With the development of computer network and information, it is urgent to protect the digital products copyright. Digital watermarking as a copyright protection technology is developed in this condition. Digital watermarking contains the copyright information and authentication information, and protects legal copy and distribution of digital products, which has been the hot spot of international academia. Digital audio watermarking is especially challenging compared with digital video and image watermarking because the human auditory system (HAS) is far more sensitive than the human visual system (HVS).
The fundamental principles of digital watermarking technique are introduced in this paper. Then the demands and properties of digital audio watermarking system and classical watermarking technologies are discussed and compared，such as transformation domain, phase coding and the least significant bit algorithm. The basic acknowledges of the audio signals are also mentioned. Next, the digital audio watermark based on echo hiding technology are discussed in details. Firstly, the binary watermarking image is converted into a one-dimension sequence. Then the audio signal is enframed into several segments. The embedding process is correspondingly the convolution of the signals and the echo kernels. The complex cepstrum is used to extract the watermarking from the audio signals. Simulation experiences show that the algorithm is robust.

Keywords: copyright protection, digital audio watermarking, HVS, echo hiding, complex cepstrum, robustness