發(fā)布時(shí)間：2018-05-03 03:37

  本文選題：可逆圖像水印 + 預(yù)測(cè)誤差��； 參考：《江西理工大學(xué)》2017年碩士論文

【摘要】：隨著科學(xué)技術(shù)的不斷發(fā)展,數(shù)字多媒體信息普及化給人們的生活帶來了極大的便利,但與此同時(shí)也帶來了一些挑戰(zhàn)。對(duì)于有些不法份子可以很容易就能獲得這些數(shù)字多媒體信息進(jìn)行竄改后發(fā)布,給信息產(chǎn)業(yè)帶來了一系列的信息安全問題。數(shù)字水印是一種能夠解決該領(lǐng)域出現(xiàn)的相關(guān)安全問題,通過把含有用信息的水印嵌入相關(guān)數(shù)字產(chǎn)品中,合法使用的用戶可以提取出該有用的水印信息用來證明使用者的相關(guān)權(quán)益。傳統(tǒng)數(shù)字水印技術(shù)提取嵌入的水印后會(huì)對(duì)原始多媒體信息會(huì)造成不可逆的失真,不適合用于對(duì)原始多媒體信息有較高質(zhì)量要求的領(lǐng)域,為了克服傳統(tǒng)數(shù)字水印缺點(diǎn),可逆水印就隨之出現(xiàn),主要的思想是指在提取嵌入水印后,并且可以完全無失真地恢復(fù)出原始多媒體信息。本文主要研究的是把圖像作為原始載體的可逆數(shù)字圖像水印技術(shù),當(dāng)采用不同的嵌入水印容量時(shí),改進(jìn)相關(guān)算法使得嵌入水印后圖像的質(zhì)量能得到提升。論文主要內(nèi)容和創(chuàng)新點(diǎn)為:(1)對(duì)可逆數(shù)字水印技術(shù)發(fā)展和應(yīng)用做了系統(tǒng)的介紹,并對(duì)當(dāng)前主流的可逆數(shù)字水印算法展開研究,分析了不同算法的基本原理和實(shí)現(xiàn)過程。利用MATLAB搭建實(shí)驗(yàn)平臺(tái),在實(shí)驗(yàn)平臺(tái)上對(duì)算法進(jìn)行仿真實(shí)驗(yàn)。(2)為了解決預(yù)測(cè)誤差在預(yù)測(cè)的準(zhǔn)確度和圖像不可感知性上的不足,提出了一種基于像素排序預(yù)測(cè)的自適應(yīng)選塊可逆圖像水印算法。算法首先通過對(duì)原始圖像分塊;然后利用多個(gè)像素與平均值之間的梯度計(jì)算圖像子塊噪聲級(jí),再結(jié)合像素排序預(yù)測(cè)算子得到預(yù)測(cè)誤差直方圖;最后根據(jù)得到的預(yù)測(cè)誤差直方圖,可以自適應(yīng)地選擇合適的子塊進(jìn)行嵌入水印過程。算法能提高預(yù)測(cè)器的預(yù)測(cè)精度并能夠自適應(yīng)選擇子塊嵌入水印,使得嵌入水印后圖像失真會(huì)有所降低。(3)為了解決圖像隱蔽性和水印嵌入容量之間相互矛盾的問題,提出一種基于預(yù)測(cè)失真自適應(yīng)兩遍嵌入可逆圖像水印。算法首先對(duì)原始圖像進(jìn)行分塊,利用方差衡量圖像子塊紋理性,根據(jù)紋理性設(shè)子塊嵌入強(qiáng)度初始值;然后對(duì)子塊圖像預(yù)測(cè)失真再動(dòng)態(tài)調(diào)整嵌入強(qiáng)度;最后通過最終確定的嵌入強(qiáng)度自適應(yīng)地進(jìn)行兩遍嵌入水印。算法采用預(yù)測(cè)失真自適應(yīng)兩遍嵌入的方法,可以在高容量嵌入時(shí)有效減少圖像失真,實(shí)現(xiàn)了高容量且有較高質(zhì)量的可逆圖像水印算法。
[Abstract]:With the development of science and technology, the popularization of digital multimedia information brings great convenience to people's life, but also brings some challenges. Some illegal elements can easily obtain these digital multimedia information for tampering and publishing, which has brought a series of information security problems to the information industry. Digital watermarking is a kind of security problem which can solve the related problems in this field by embedding the watermark with information into the relevant digital products. The legitimate user can extract the useful watermark information to prove the user's rights and interests. The traditional digital watermarking technology will cause irreversible distortion to the original multimedia information after extracting the embedded watermark, which is not suitable for the field of high quality of the original multimedia information, in order to overcome the shortcomings of the traditional digital watermarking. The main idea is that after extracting the embedded watermark, the original multimedia information can be recovered completely without distortion. This paper mainly studies the reversible digital image watermarking technology which takes the image as the original carrier. When different embedding watermark capacity is used, the improved correlation algorithm can improve the image quality after embedding the watermark. The main content and innovation of this paper are as follows: (1) the development and application of reversible digital watermarking technology are introduced systematically, and the current mainstream reversible digital watermarking algorithms are studied, and the basic principle and implementation process of different algorithms are analyzed. In order to solve the deficiency of prediction error in prediction accuracy and imperceptibility of image, we use MATLAB to build the experimental platform and simulate the algorithm on the experimental platform. An adaptive block selection reversible image watermarking algorithm based on pixel ranking prediction is proposed. The algorithm firstly divides the original image into blocks, then calculates the noise level of the image subblocks by using the gradient between multiple pixels and the average value, and then obtains the prediction error histogram by combining the pixel sort prediction operator; finally, according to the obtained prediction error histogram, The appropriate subblocks can be adaptively selected to embed the watermark. The algorithm can improve the prediction accuracy of the predictor and adaptively select sub-blocks to embed the watermark, which will reduce the image distortion after embedding the watermark.) in order to solve the problem of the contradiction between the image concealment and the watermark embedding capacity, the algorithm can reduce the image distortion after embedding the watermark. A reversible image watermarking based on predictive distortion adaptive two-pass embedding is proposed. The algorithm first divides the original image into blocks, then uses variance to measure the texture of the image subblock, and then sets the initial value of the embedding intensity according to the texture, and then dynamically adjusts the embedding intensity for the prediction distortion of the sub-block image. Finally, the watermark is adaptively embedded twice through the final embedding strength. The algorithm adopts predictive distortion adaptive two-pass embedding method, which can effectively reduce image distortion in high capacity embedding, and realize a reversible image watermarking algorithm with high capacity and high quality.
【學(xué)位授予單位】：江西理工大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TP309.7

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 羅劍高;韓國(guó)強(qiáng);沃焱;;新穎的差值擴(kuò)展可逆數(shù)據(jù)隱藏算法[J];通信學(xué)報(bào);2016年02期

2 鄧小鴻;陳志剛;梁滌青;毛伊敏;;分區(qū)域的醫(yī)學(xué)圖像高容量無損信息隱藏方法[J];通信學(xué)報(bào);2015年01期

3 邱應(yīng)強(qiáng);余輪;;基于整數(shù)變換的圖像可逆水印方法[J];電子測(cè)量與儀器學(xué)報(bào);2015年01期

4 朱新山;陳硯鳴;董宏輝;丁杰;;基于雙域信息融合的魯棒二值文本圖像水印[J];計(jì)算機(jī)學(xué)報(bào);2014年06期

5 張秋余;孫媛;晏燕;;基于分塊自適應(yīng)壓縮感知的可逆水印算法[J];電子與信息學(xué)報(bào);2013年04期

6 王俊祥;倪江群;潘金偉;;一種基于直方圖平移的高性能可逆水印算法[J];自動(dòng)化學(xué)報(bào);2012年01期

7 宋偉;侯建軍;李趙紅;;一種基于塊分類和差值擴(kuò)展的可逆數(shù)據(jù)隱藏算法[J];中南大學(xué)學(xué)報(bào)(自然科學(xué)版);2011年03期

8 曾驍;陳真勇;陳明;熊璋;;基于全方向預(yù)測(cè)與誤差擴(kuò)展的可逆數(shù)據(jù)隱藏[J];計(jì)算機(jī)研究與發(fā)展;2010年09期

9 武丹;汪國(guó)昭;;可抵抗JPEG壓縮的魯棒可逆水印[J];光子學(xué)報(bào);2010年08期

10 熊志勇;王江晴;;大容量的預(yù)測(cè)誤差差值擴(kuò)展可逆數(shù)據(jù)隱藏算法[J];光電子.激光;2010年05期

相關(guān)博士學(xué)位論文 前2條

1 歐博;高保真的可逆信息隱藏[D];北京交通大學(xué);2014年

2 翁韶偉;數(shù)字圖像的高容量可逆水印的研究[D];北京交通大學(xué);2009年

相關(guān)碩士學(xué)位論文 前1條

1 丁京;基于直方圖平移的可逆數(shù)字水印算法研究[D];西安電子科技大學(xué);2014年

，

本文編號(hào)：1836832