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①Matlab图像处理（进阶版）
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1 基本DCT变换
目前，基于DCT域的水印方法已经成为数字水印算法研究的热点，它的核心思想就是通过离散傅立叶变换对图像块进行处理后，再选择变换域中的一些系数值依据一定规则来嵌入水印。
由于图像块中DCT系数频带分布由左上角的直流分量DC往下对应的系数频率由低频升至高频，因此在不影响原图质量的前提下，可将水印信息根据能量大小嵌入相应系数频带中。通过图像块量化与水印嵌入结合的处理方法将水印信息均匀分布在图像的整个空间域，在图像裁剪和滤波方面，变换域的水印比在空间域的更能表现出一定的鲁棒性。
2.2 水印提取算法
将嵌入水印的图像P’分块处理，并对各子块进行二维DCT变换，由密钥3和4推断所选择的水印系数，若x(m）≤x(n），则水印信息为0，若x(m)>x(n），则水印信息为1，再利用密钥1和2将初步水印的信息解密再进行Arnold逆变换，最终提取出水印信息。
function varargout = untitled(varargin)
% UNTITLED M-file for untitled.fig
% UNTITLED, by itself, creates a new UNTITLED or raises the existing
% singleton*.
%
% H = UNTITLED returns the handle to a new UNTITLED or the handle to
% the existing singleton*.
%
% UNTITLED(‘CALLBACK’,hObject,eventData,handles,…) calls the local
% function named CALLBACK in UNTITLED.M with the given input arguments.
%
% UNTITLED(‘Property’,‘Value’,…) creates a new UNTITLED or raises the
% existing singleton*. Starting from the left, property value pairs are
% applied to the GUI before untitled_OpeningFunction gets called. An
% unrecognized property name or invalid value makes property application
% stop. All inputs are passed to untitled_OpeningFcn via varargin.
%
% *See GUI Options on GUIDE’s Tools menu. Choose “GUI allows only one
% instance to run (singleton)”.
%
% See also: GUIDE, GUIDATA, GUIHANDLES
% Edit the above text to modify the response to help untitled
% Last Modified by GUIDE v2.5 08-May-2021 09:30:13
% Begin initialization code - DO NOT EDIT
gui_Singleton = 1;
gui_State = struct(‘gui_Name’, mfilename, …
‘gui_Singleton’, gui_Singleton, …
‘gui_OpeningFcn’, @untitled_OpeningFcn, …
‘gui_OutputFcn’, @untitled_OutputFcn, …
‘gui_LayoutFcn’, [] , …
‘gui_Callback’, []);
if nargin && ischar(varargin{1})
gui_State.gui_Callback = str2func(varargin{1});
end
if nargout
[varargout{1:nargout}] = gui_mainfcn(gui_State, varargin{:});
else
gui_mainfcn(gui_State, varargin{:});
end
% End initialization code - DO NOT EDIT
% — Executes just before untitled is made visible.
function untitled_OpeningFcn(hObject, eventdata, handles, varargin)
% This function has no output args, see OutputFcn.
% hObject handle to figure
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
% varargin command line arguments to untitled (see VARARGIN)
% Choose default command line output for untitled
handles.output = hObject;
% Update handles structure
guidata(hObject, handles);
% UIWAIT makes untitled wait for user response (see UIRESUME)
% uiwait(handles.figure1);
% — Outputs from this function are returned to the command line.
function varargout = untitled_OutputFcn(hObject, eventdata, handles)
% varargout cell array for returning output args (see VARARGOUT);
% hObject handle to figure
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
% Get default command line output from handles structure
varargout{1} = handles.output;
% — Executes on button press in OpenImage.
function OpenImage_Callback(hObject, eventdata, handles)
% hObject handle to OpenImage (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
global mydata
[filename,pathname]=uigetfile(‘.’,‘select picture to open’);
if filename==0
return;
end
str=[pathname,filename];
mydata.a=imread(str);
mydata.a=rgb2gray(mydata.a);
axes(handles.YsImage);
imshow(mydata.a);
%按钮
set(handles.OpensyImage, ‘Enable’, ‘on’);
set(handles.AddImage, ‘Enable’, ‘off’);
set(handles.Extractsy, ‘Enable’, ‘off’);
set(handles.popupmenu1, ‘Enable’, ‘off’);
set(handles.popupmenu2, ‘Enable’, ‘off’);
set(handles.OutputImage, ‘Enable’, ‘off’);
%clear static text
set(handles.text3, ‘String’, ‘’); %clear nc
%clear img2 TODO…
cla(handles.SyImage, ‘reset’);
set(handles.SyImage, ‘Box’, ‘on’);
set(handles.SyImage, ‘XTick’, inf);
set(handles.SyImage, ‘YTick’, inf);
cla(handles.ClhImage, ‘reset’);
set(handles.ClhImage, ‘Box’, ‘on’);
set(handles.ClhImage, ‘XTick’, inf);
set(handles.ClhImage, ‘YTick’, inf);
cla(handles.TqsyImage, ‘reset’);
set(handles.TqsyImage, ‘Box’, ‘on’);
set(handles.TqsyImage, ‘XTick’, inf);
set(handles.TqsyImage, ‘YTick’, inf);
% — Executes on button press in AddImage.
function AddImage_Callback(hObject, eventdata, handles)
% hObject handle to AddImage (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
global mydata
cimage=mydata.a;
a1_string=get(handles.popupmenu2,‘String’);
p1_string=a1_string{get(handles.popupmenu2,‘Value’)};
switch p1_string
case ‘10’
alpha=10;
case ‘20’
alpha=20;
case ‘30’
alpha=30;
case ‘40’
alpha=40;
case ‘50’
alpha=50;
case ‘60’
alpha=60;
end
OutputImage=DCT(mydata.a,mydata.b,alpha);
a2_string=get(handles.popupmenu1,‘String’);
p2_string=a2_string{get(handles.popupmenu1,‘Value’)};
gjfs=gongji(OutputImage,p2_string);
mydata.c=gjfs;
axes(handles.ClhImage);
imshow(mydata.c);
set(handles.Extractsy, ‘Enable’, ‘on’);
set(handles.OutputImage, ‘Enable’, ‘on’);
function gjfs=gongji(image,gj)
switch (gj)
case ‘没有受到攻击’
% WImage5=a1;
gjhimage=im2double(gjhimage);
% gjhimage=wextend(‘2D’,‘sym’,gjhimage,8);
cnum=10;
dctm=dctmtx(8);
P1=dctm;
P2=dctm.‘;
imageDCT=blkproc(gjhimage,[8,8],‘P1xP2’,dctm,dctm.’);
DCTvar=im2col(imageDCT,[8,8],‘distinct’).';
n=size(DCTvar,1);
DCTvar=(sum(DCTvar.*DCTvar)-(sum(DCTvar)/n).^2)/n;
[dum,order]=sort(DCTvar);
cnum=64-cnum;
1 matlab版本
2014a
2 参考文献
[1]万谊丹.基于Arnold和DCT的抗剪切攻击图像水印研究[J].网络安全技术与应用. 2021,(08)
3 备注
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