基于KICA的小波域數(shù)字多水印方法研究.pdf

1、華北電力大學碩士學位論文摘要隨著網(wǎng)絡(luò)和多媒體信息技術(shù)的不斷發(fā)展，如何有效的利用數(shù)字水印技術(shù)對多媒體信息進行版權(quán)保護則成為了當前信息安全領(lǐng)域的一個研究熱點。本文通過對小波域變換理論的分析和研究，并且把盲源分離技術(shù)引入到數(shù)字水印的提取過程中，提出了一種基于belet變換的多水印算法。該算法首先對圖像實施二維小波變換，將第一個水印嵌入到經(jīng)小波分解后的低頻系數(shù)中。然后將分解后的中高頻部分進行belet化，確定圖像的幾何流方向，將紋理和邊緣部分作

2、為圖像的特征從而構(gòu)造出高頻圖像水印參數(shù)，將第二個水印嵌入其中。最后通過核獨立成分分析的方法分別提取水印。實驗結(jié)果表明，該算法具有較好的隱藏性和良好魯棒性。關(guān)鍵詞:小波域變換，bandelet變換，數(shù)字多水印，核獨立成分分析ABSTRACTWiththedeveloPmentofnetworkandmultimediatechnology，howtoaPPlywatermarkingteehnologyeffeetivelytoimPro

3、vethedigitaleoPyrightProtectionwillbeafoeusofinfmationseeurity.ByanalyZingthewavelettransfm，inthisPaper，anovelmultiPlewatermarkingalgorithmbasedonbandelettransfm15ProPosed，andafeatureextraetionalgorithm15PerformedtothePr

4、oeessofwatermarkextract.Firstly，wegetthefrequeneycoefficientsafterPerfmingseveralwavelettransforms，andelnbedt址onewatermarkintothefrequency.Seeondly，weimPlementabandeletizationtohighercoefficients，50thatthegeometrieflow15

5、traeed.ThetextureandedgeeonsideredffeatureParametersoftheimageareusedtohighfrequeneywatermarking.Andthenweembedtheotherwatermarkintobandeletizationfrequency.Atlast，weusekernelindePendenteomPonentanalysis(KICA)toextractth

6、ewatermarks.ExPerimentalresultsdemonstratethattheProPosedaPProaehhasthecapabilitytesiststrongattaeksandagoodinvisibility.WangXiaolei(ComPuterAPPlieationTechnology)DirectedbyassoeiateProf.LiYuanehengKEYWORDS:wavelettransf

7、m，bandelettransfm，multiPlewatermarking，KICA鄉(xiāng)華J匕電力大學碩十學位論文3.4.3二維小波變換....................................................................................……203.5RADoN變換和小波變換的聯(lián)合算法............................................

8、................……233.5.1水印嵌入..……，........................……，..…，..............................................……233.5.2水印提取......……，...............................................................................……243.6實

9、驗結(jié)果...................................................................................................……243.7本章小結(jié)...................................................................................................……28第四章基

10、于KCA的小波數(shù)字水印提取算法.................……，..............................……294.1工CA算法研究............................................................................................……294.ZK工CA算法的實現(xiàn).................................

11、...............................................……，……304.3基于K工CA的小波數(shù)字水印提取算法.，，，.，.，.........……，二，.....................……、，.…，.314.3.1水印的嵌入...................................................................................

12、.....……314.3.2水印的提取........................................................................................……324.4實驗結(jié)果分析...........................................................................................……334.5本章

13、小結(jié)...................................................................................................……37第五章基于KICA的第二代BANOELE丁變換圖像多水印算法..............................……385.1第二代BELET變換基本原理................……，...............

14、............................……385.1.1Belet化二，....................................................................................……385.1.2確定最佳幾何流方向.........................................................................

15、……395.1.3圖像分割...................................……。..................................................……415.2數(shù)字多水印技術(shù)........................................................................................……425.3基于K工CA的BEL

16、ET多水印算法............................................................……435.3.1水印的嵌入........................................................................................……435.3.2水印的提取.....................................

17、...................................................……445.4實驗結(jié)果分析...........................................................................................……445.5本章小結(jié)......................................................

18、..................................……，....……47第六章總結(jié)與展望......................................................................................……，……48參考文獻......................................................................

19、.................................……49致謝.......................................................................................................……53在學期間發(fā)表的學術(shù)論文和參加科研情況........................................................