本文選題：數(shù)字水印 + 水印容量�。� 參考：《天津大學(xué)》2016年碩士論文

【摘要】：進(jìn)入21世紀(jì),信息化社會(huì)發(fā)展方興未艾,信息安全問題日益突出。數(shù)字水印技術(shù)作為解決數(shù)字多媒體作品版權(quán)保護(hù)的一種得力手段,日益引起人們的關(guān)注。當(dāng)前大多數(shù)的數(shù)字水印算法均是通過反復(fù)試驗(yàn)來確定嵌入數(shù)字水印的最佳容量和能量。論文針對(duì)這一局限性進(jìn)行了以下主要研究:一、提出了填球水印模型,并推導(dǎo)出該水印模型下的容量公式以及容量與峰值信噪比之間的定量關(guān)系。該水印模型不需要對(duì)攻擊信道作概率統(tǒng)計(jì)假設(shè),而是將攻擊行為量化為一個(gè)幾何失真。二、研究了在一般意義下位替換水印模型容量的上下界公式,并對(duì)該水印模型下的容量進(jìn)行了仿真。由于該容量公式為非解析形式,因此其結(jié)果可以用來估計(jì)容量大小。三、提出了向量?jī)?nèi)積水印,水印嵌入方式是基于疊加嵌入,水印提取方式是基于向量?jī)?nèi)積,并推導(dǎo)出該模型下的峰值信噪比公式。四、提出了改進(jìn)的向量?jī)?nèi)積水印,并推導(dǎo)出該模型下的峰值信噪比公式、誤碼率公式。論文通過多組對(duì)比實(shí)驗(yàn),證實(shí)了改進(jìn)的向量?jī)?nèi)積水印對(duì)于抵抗高斯白噪聲,幅值縮放、高斯濾波等常見攻擊具有良好魯棒性;引進(jìn)數(shù)字圖像置亂技術(shù)能有效抵抗剪切攻擊對(duì)數(shù)字水印圖像內(nèi)容的破壞;引進(jìn)特征點(diǎn)匹配能夠有效抵抗幾何攻擊。本論文的研究,可應(yīng)用于具體數(shù)字水印技術(shù)方案,具有一定的實(shí)用價(jià)值。
[Abstract]:In the 21 st century, the development of information society is in the ascendant, and the problem of information security is becoming more and more prominent. As a powerful method to solve copyright protection of digital multimedia works, digital watermarking technology has attracted more and more attention. At present, most digital watermarking algorithms determine the optimal capacity and energy of embedded digital watermarking by repeated experiments. The main research work is as follows: firstly, a watermark model is proposed, and the capacity formula and the quantitative relationship between capacity and peak signal-to-noise ratio are derived. The watermark model does not need to make probabilistic statistical assumptions for the attack channel, but quantifies the attack behavior into a geometric distortion. Secondly, the upper and lower bound formulas of the capacity of the watermarking model are studied in the general sense, and the capacity of the watermarking model is simulated. Since the capacity formula is a non-analytical form, its result can be used to estimate the size of capacity. Thirdly, a vector inner product watermarking is proposed, which is based on the superposition embedding, and the watermark extraction is based on the vector inner product. The formula of peak signal-to-noise ratio (PSNR) based on the model is derived. Fourthly, an improved vector inner product watermark is proposed, and the peak signal-to-noise ratio (PSNR) and error rate (BER) formulas are derived. In this paper, the improved vector inner product watermark is proved to be robust against Gao Si white noise, amplitude scaling, Gao Si filtering and other common attacks through a number of comparative experiments. The introduction of digital image scrambling technology can effectively resist the destruction of digital watermarking image content caused by clipping attack, and the feature point matching can effectively resist geometric attack. The research of this paper can be applied to the specific digital watermarking scheme, which has certain practical value.
【學(xué)位授予單位】：天津大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2016
【分類號(hào)】：TP309.7

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