基于小波包變換和人類視覺系統(tǒng)的數(shù)字水印算法研究
發(fā)布時間:2018-11-17 15:38
【摘要】:當前,隨著信息技術(shù)的不斷發(fā)展和計算機網(wǎng)絡(luò)的廣泛使用,各種各樣的文本、音頃、視頻等多媒體產(chǎn)品已經(jīng)逐漸走進了千家萬戶,但這些產(chǎn)品的知識權(quán)保護等問題受到人們的廣泛關(guān)注。因此,如何更好的保護創(chuàng)造者的合法權(quán)益,已經(jīng)成為近年來的一個重要研究熱點。由于數(shù)字水印技術(shù)在保證圖像信息完整性的同時,很好地解決了數(shù)字產(chǎn)品的信息安全等問題,成為近年來信息安全、知識產(chǎn)權(quán)保護等問題研究的重要技術(shù)熱點。 本文在對比國內(nèi)外現(xiàn)有的圖像水印算法基礎(chǔ)之上,通過總結(jié)分析小波分析的理論基礎(chǔ),根據(jù)小波包系數(shù)分布特性和人類視覺特性相結(jié)合的特征,采用了一種基于小波包變換和人類視覺系統(tǒng)的數(shù)字圖像水印算法,對數(shù)字圖像水印進行處理。該算法首先是將水印圖像利用Arnold混沌映射進行置亂,然后對宿主圖像進行小波包分解,在低頻子帶處通過改變兩個小波子帶相應系數(shù)的大小關(guān)系來嵌入水印信息,再通過控制嵌入的強度,使得水印具有了較好的不可見性和魯棒性。 本文介紹了數(shù)字圖像水印技術(shù)的研究背景以及現(xiàn)狀,闡述了數(shù)字水印的基本概念、分類與特性、常見的攻擊方法和性能評估指標等內(nèi)容,論述了小波和小波包變換理論基礎(chǔ),分析研究了數(shù)字圖像水印的生成、嵌入、攻擊、檢測與提取等過程。最后,對含水印圖像進行加噪、壓縮、旋轉(zhuǎn)和濾波等方式攻擊性實驗,實驗表明:該算法水印信息嵌入量大,有較好的魯棒性和不可見性等優(yōu)點。
[Abstract]:At present, with the continuous development of information technology and the extensive use of computer networks, various multimedia products, such as text, audio, video and so on, have gradually entered into thousands of households. However, the protection of the right to knowledge of these products and other issues are widely concerned. Therefore, how to better protect the legitimate rights and interests of creators has become an important research hotspot in recent years. Digital watermarking technology not only ensures the integrity of image information, but also solves the problem of information security of digital products. It has become an important technology hotspot in the research of information security and intellectual property protection in recent years. On the basis of comparing the existing image watermarking algorithms at home and abroad, this paper summarizes and analyzes the theoretical basis of wavelet analysis, according to the characteristics of wavelet packet coefficient distribution and human visual characteristics. A digital image watermarking algorithm based on wavelet packet transform and human vision system is proposed in this paper. Firstly, the watermark image is scrambled by Arnold chaotic map, then the host image is decomposed by wavelet packet, and the watermark information is embedded at the low frequency subband by changing the relationship between the corresponding coefficients of the two wavelet subbands. By controlling the embedding strength, the watermark has better invisibility and robustness. This paper introduces the research background and present situation of digital image watermarking technology, expounds the basic concept, classification and characteristics of digital watermarking, common attack methods and performance evaluation indexes, and discusses the theoretical basis of wavelet and wavelet packet transform. The processes of digital image watermarking generation, embedding, attack, detection and extraction are analyzed and studied. Finally, the aggressive experiments of adding noise, compressing, rotating and filtering are carried out on the watermark images. The experiments show that the algorithm has the advantages of large amount of watermark information embedding, good robustness and invisibility.
【學位授予單位】:江西理工大學
【學位級別】:碩士
【學位授予年份】:2013
【分類號】:TP309.7
[Abstract]:At present, with the continuous development of information technology and the extensive use of computer networks, various multimedia products, such as text, audio, video and so on, have gradually entered into thousands of households. However, the protection of the right to knowledge of these products and other issues are widely concerned. Therefore, how to better protect the legitimate rights and interests of creators has become an important research hotspot in recent years. Digital watermarking technology not only ensures the integrity of image information, but also solves the problem of information security of digital products. It has become an important technology hotspot in the research of information security and intellectual property protection in recent years. On the basis of comparing the existing image watermarking algorithms at home and abroad, this paper summarizes and analyzes the theoretical basis of wavelet analysis, according to the characteristics of wavelet packet coefficient distribution and human visual characteristics. A digital image watermarking algorithm based on wavelet packet transform and human vision system is proposed in this paper. Firstly, the watermark image is scrambled by Arnold chaotic map, then the host image is decomposed by wavelet packet, and the watermark information is embedded at the low frequency subband by changing the relationship between the corresponding coefficients of the two wavelet subbands. By controlling the embedding strength, the watermark has better invisibility and robustness. This paper introduces the research background and present situation of digital image watermarking technology, expounds the basic concept, classification and characteristics of digital watermarking, common attack methods and performance evaluation indexes, and discusses the theoretical basis of wavelet and wavelet packet transform. The processes of digital image watermarking generation, embedding, attack, detection and extraction are analyzed and studied. Finally, the aggressive experiments of adding noise, compressing, rotating and filtering are carried out on the watermark images. The experiments show that the algorithm has the advantages of large amount of watermark information embedding, good robustness and invisibility.
【學位授予單位】:江西理工大學
【學位級別】:碩士
【學位授予年份】:2013
【分類號】:TP309.7
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