%%水印攻擊實驗
function?dwtwatermarkattack（actionIwWntimesrngseed）
%action;水印攻擊類型
%Iw：嵌入水印的圖像
%W:原始水印，用來計算相關性
%ntimesrngseed:水印算法秘鑰
%模擬水印攻擊
switch?lower（action）
????case?‘filter‘
????????Ia=imfilter（Iwones（3）/9）;
????case?‘gaussian?noise‘
????????Ia=imnoise（Iw‘gaussian‘）;
????case?‘resize‘
????????Ia=imresize（Iw0.5）;
????????Ia=imresize（Ia2）;
????case?‘noise‘
????????Ia=imnoise（Iw‘salt?&?pepper‘0.01）;
????case?‘crop‘
????????Ia=Iw;
????????Ia（50:40050:400:）=randn（）;
????case?‘rotate‘
????????Ia=imrotate（Iw45‘nearest‘‘crop‘）;
????????Ia=imrotate（Ia-45‘nearest‘‘crop‘）;
????case?‘motion?filter‘??%運動模糊
????????PSF?=?fspecial（‘motion‘2015）;
????????Ia?=?imfilter（IwPSF‘conv‘‘circular‘）;
????case?‘gaussian?filter‘?%高斯模糊???????
????????G?=?fspecial（‘gaussian‘?[5?5]?2）;
????????Ia?=?imfilter（IwG‘same‘）;
end
%從遭受的攻擊的圖像中提取水印
Wg?=?getdwtwatermark（IaWntimesrngseed）;
nc=sum（Wg（:）.*W（:））/sqrt（sum（Wg（:）.^2））/sqrt（sum（W（:）.^2））;
%顯示攻擊前后的對比結果
figure（‘Name‘[‘數(shù)字水印?‘upper（action）‘?攻擊試驗‘]‘Position‘[287108943557]）;
subplot（221）imshow（Iw）title（‘嵌入水印圖像‘）;
subplot（222）imshow（Ia）title（[‘遭受?‘upper（action）?‘?攻擊‘]）;
subplot（223）imshow（W）title（‘原始水印圖像‘）;
subplot（224）imshow（Wg）title（[‘提取水印，NC=‘num2str（nc）]）;
end

?屬性????????????大小?????日期????時間???名稱
-----------?---------??----------?-----??----

?????文件?????918344??2018-03-21?16:59??HSVLH\1.png

?????文件???????1388??2018-07-17?16:51??HSVLH\dwtwatermarkattack.m

?????文件????????684??2018-07-17?17:13??HSVLH\getdwtwatermark.m

?????文件???????1085??2018-07-17?16:58??HSVLH\main.m

?????文件?????????77??2019-03-21?09:19??HSVLH\Readme.txt

?????文件???????1406??2018-07-17?17:12??HSVLH\setdwtwatermark.m

?????文件???????6198??2018-03-26?15:51??HSVLH\水印01.png

?????目錄??????????0??2019-03-21?09:18??HSVLH

-----------?---------??----------?-----??----

???????????????929182????????????????????8