本文選題：信息隱藏 + 數(shù)字水印�。� 參考：《中北大學(xué)》2014年碩士論文

【摘要】：隨著互聯(lián)網(wǎng)技術(shù)的不斷發(fā)展和普及，信息技術(shù)為多媒體信息的收發(fā)和存取提供了極大的便利，也使信息之間的交流達(dá)到了從未有過的廣度和深度。信息隱藏利用其偽裝這一特點在信息安全技術(shù)中應(yīng)運而生，并成為隱蔽通信和知識產(chǎn)權(quán)保護(hù)等的有效手段，在國際上得到廣泛的研究與應(yīng)用。在信息安全保障體系中的應(yīng)用主要集中在身份認(rèn)證、數(shù)字作品的版權(quán)保護(hù)與盜版追蹤、數(shù)據(jù)保密通信、數(shù)字作品的完整性、真實性鑒定與內(nèi)容恢復(fù)等。數(shù)字水印，作為多媒體安全領(lǐng)域中隱藏技術(shù)不可或缺的一部分，是實現(xiàn)跟蹤侵權(quán)行為和有效保障數(shù)字作品版權(quán)保護(hù)行之有效的方案，其固有的特點還有秘密通信、隱含標(biāo)注和數(shù)字文件的真?zhèn)舞b別等，是目前學(xué)習(xí)和研發(fā)應(yīng)用的一個重點。 本文在分析已有的數(shù)字水印模型的基礎(chǔ)上，以模型的建立和水印算法作為研究重點，針對水印嵌入容量、魯棒性和不可見性等方面，結(jié)合HVS和灰度圖像在頻域中的一些特性，對基于圖像的自適應(yīng)水印嵌入進(jìn)行了深入的研究，并構(gòu)建了數(shù)字圖像水印的系統(tǒng)模型，使得水印容量增加，，系統(tǒng)特性提高，抗攻擊能力增強(qiáng)，并且實現(xiàn)了水印的盲提取。本文研究的主要內(nèi)容如下： 1.針對空域中嵌入的水印魯棒性差、易破壞和易破解等問題，本文基于頻域提出了一種魯棒性強(qiáng)、不可見性好的數(shù)字水印模型。分析預(yù)測水印系統(tǒng)的性能，實驗仿真和結(jié)果表明了該模型的有效性和可行性，適用于圖像水印的嵌入。 2.利用混沌映射或Zigzag掃描技術(shù)對原始水印信息進(jìn)行置亂、維度變換等，再通過特定的公式計算來對水印進(jìn)行加密保護(hù)，以此增強(qiáng)水印信息的安全性，即使圖像被破壞者檢測到含有水印信息，也不可能真正的被提取出來。 3.傳統(tǒng)的數(shù)字水印模型沒有從人眼視覺角度來考慮嵌入后圖像質(zhì)量的優(yōu)劣，本文在深入分析數(shù)字圖像結(jié)構(gòu)和人類視覺模型的基本原理后，將二者相結(jié)合并獲取閾值來達(dá)到水印嵌入的目的，最終提高了水印的不可見性。 4.頻域變換后的圖像系數(shù)按高低頻帶分布，本文通過對已有文獻(xiàn)的參考比較，針對不同頻域變換和內(nèi)容3中的閾值自適應(yīng)選擇不同的頻帶和不同的系數(shù)位作為水印的嵌入位置，嵌入容量也有所增大。 5.本文利用奇偶量化的特性，對閾值進(jìn)行特殊處理，提出了水印的嵌入算法，建立了最終的數(shù)字水印模型。本模型在水印的提取中不需要使用原始載體圖和水印圖，實現(xiàn)了水印的盲提取，同時提高了實驗的運算速率。
[Abstract]:With the continuous development and popularization of Internet technology, information technology provides great convenience for the transmission and access of multimedia information, and also makes the communication between information reach unprecedented breadth and depth. Information hiding, which uses its camouflage, has emerged as the times require in information security technology, and has become an effective means of covert communication and intellectual property protection, and has been widely studied and applied in the world. The applications in the information security system are mainly focused on identity authentication, copyright protection and piracy tracing of digital works, data security communication, integrity of digital works, authenticity identification and content recovery, etc. Digital watermarking, as an indispensable part of the hiding technology in the field of multimedia security, is an effective scheme to track infringement and effectively protect copyright of digital works. Implicit tagging and digital document authentication is a key point in current research and development. Based on the analysis of the existing digital watermarking models, this paper focuses on the establishment of the model and the watermarking algorithm. Aiming at the embedding capacity, robustness and invisibility of the watermark, this paper combines some characteristics of HVS and gray image in the frequency domain. In this paper, the adaptive watermark embedding based on image is deeply studied, and the system model of digital image watermarking is constructed, which makes the watermark capacity increase, the system characteristic increases, the anti-attack ability is enhanced, and the blind extraction of watermark is realized. The main contents of this paper are as follows: 1. Aiming at the problems of poor robustness, easy to destroy and easy to crack embedded watermark in spatial domain, this paper proposes a robust and invisible digital watermarking model based on frequency domain. The performance of the predictive watermarking system is analyzed, and the experimental results show that the model is effective and feasible, and it is suitable for image watermarking embedding. 2. Chaotic mapping or Zigzag scanning technology is used to scramble the original watermark information, transform the dimension and so on, and then encrypt and protect the watermark through the calculation of specific formulas, so as to enhance the security of the watermark information. Even if the image is detected with watermark, it is impossible to extract it. 3. The traditional digital watermarking model does not consider the quality of embedded image from the point of view of human vision. In this paper, the structure of digital image and the basic principles of human visual model are deeply analyzed. Finally, the invisibility of the watermark is improved by combining the two and obtaining the threshold value to achieve the purpose of watermark embedding. 4. The image coefficients of the frequency domain transform are distributed according to the high and low frequency band. This paper adaptively selects different frequency bands and different coefficients bits as the embedding position of the watermark according to the different frequency domain transform and the threshold value of content 3. The embedding capacity is also increased. 5. In this paper, we use the characteristic of parity quantization to deal with the threshold value, put forward the embedding algorithm of watermark, and establish the final digital watermarking model. In this model, the original carrier image and watermark image are not used in the watermark extraction, so the blind extraction of watermark is realized, and the experimental operation rate is improved at the same time.
【學(xué)位授予單位】：中北大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：TP309.7

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 胡自權(quán);佘X;劉金華;;基于Watson模型的改進(jìn)QIM盲水印算法[J];電子測量與儀器學(xué)報;2010年09期

2 何選森;陳利;吳良敏;;基于奇偶量化的圖像水印嵌入與檢測方法[J];電子測量與儀器學(xué)報;2011年12期

3 孫圣和,陸哲明;數(shù)字水印處理技術(shù)[J];電子學(xué)報;2000年08期

4 周武杰;郁梅;蔣剛毅;彭宗舉;邵楓;;基于視覺感知和零水印的部分參考立體圖像質(zhì)量評價模型[J];電子與信息學(xué)報;2012年08期

5 張雪鋒;范九倫;;一種基于混沌系統(tǒng)的數(shù)字圖像隱藏技術(shù)[J];計算機(jī)工程;2007年04期

6 黃兒松;劉金華;文汝紅;;基于小波視覺模型的乘性水印算法[J];計算機(jī)應(yīng)用;2011年08期

7 曹永剛;王克;王道順;王晉東;;數(shù)字圖像水印攻擊方法新分類[J];計算機(jī)應(yīng)用研究;2007年04期

8 劉竹松;陳平華;劉怡俊;;混沌數(shù)字水印技術(shù)研究進(jìn)展[J];計算機(jī)應(yīng)用研究;2011年01期

9 張曉琳;劉直芳;代金波;寇勇;陳志猛;;基于視覺感知的梯度結(jié)構(gòu)相似度圖像質(zhì)量評價[J];計算機(jī)應(yīng)用研究;2011年06期

10 黃繼武;一種自適應(yīng)圖象水印算法[J];自動化學(xué)報;1999年04期

相關(guān)博士學(xué)位論文 前3條

1 龐建新;圖像質(zhì)量客觀評價的研究[D];中國科學(xué)技術(shù)大學(xué);2008年

2 陳志宏;圖像密寫中若干關(guān)鍵技術(shù)的研究[D];天津大學(xué);2008年

3 蘭紅星;圖像關(guān)聯(lián)水印理論與應(yīng)用技術(shù)研究[D];中南大學(xué);2008年

本文編號：1883700