matlab学习笔记
2007-04-02 20:20
495 查看
加入水印,采用lsb
%Name: Chris Shoemaker
%Course: EER-280 - Digital Watermarking
%Project: Least Significant Bit Substitution
% Watermark Embeding
clear all;
% save start time
start_time=cputime;
% read in the cover object
file_name='_lena_std_bw.bmp';
[cover_object,map]=imread(file_name);
% read in the message image
file_name='key.bmp';
[message,map1]=imread(file_name);
message1=message;
% convert to double for normalization, then back again
message=double(message);
message=fix(message./2);
message=uint8(message);
% determine size of cover object
Mc=size(cover_object,1); %Height
Nc=size(cover_object,2); %Width
% determine size of message object
Mm=size(message,1); %Height
Nm=size(message,2); %Width
% title the message object out to cover object size to generate watermark
for ii = 1:Mc
for jj = 1:Nc
watermark(ii,jj)=message(mod(ii,Mm)+1,mod(jj,Nm)+1);
end
end
% now we set the lsb of cover_object(ii,jj) to the value of watermark(ii,jj)
watermarked_image=cover_object;
for ii = 1:Mc
for jj = 1:Nc
watermarked_image(ii,jj)=bitset(watermarked_image(ii,jj),1,watermark(ii,jj));
end
end
% write the watermarked image out to a file
imwrite(watermarked_image,'lsb_watermarked.bmp','bmp');
% display processing time
elapsed_time=cputime-start_time,
% calculate the PSNR
psnr=psnr(cover_object,watermarked_image,Mc,Nc),
% display watermarked image
figure(1)
imshow(watermarked_image,[])
title('Watermarked Image')
figure(2)
imshow(cover_object,[])
title('original image')
for ii = 1:Mc
for jj = 1:Nc
watermark1(ii,jj)=message1(mod(ii,Mm)+1,mod(jj,Nm)+1);
end
end
%watermark1=watermark1*256;
%message1=message1*256;
figure(3)
imshow(watermark1,[])
title('the watermark')
figure(4)
imshow(message1,[])
title('the watermark')
%Name: Chris Shoemaker
%Course: EER-280 - Digital Watermarking
%Project: Least Significant Bit Substitution
% Watermark Embeding
clear all;
% save start time
start_time=cputime;
% read in the cover object
file_name='_lena_std_bw.bmp';
[cover_object,map]=imread(file_name);
% read in the message image
file_name='key.bmp';
[message,map1]=imread(file_name);
message1=message;
% convert to double for normalization, then back again
message=double(message);
message=fix(message./2);
message=uint8(message);
% determine size of cover object
Mc=size(cover_object,1); %Height
Nc=size(cover_object,2); %Width
% determine size of message object
Mm=size(message,1); %Height
Nm=size(message,2); %Width
% title the message object out to cover object size to generate watermark
for ii = 1:Mc
for jj = 1:Nc
watermark(ii,jj)=message(mod(ii,Mm)+1,mod(jj,Nm)+1);
end
end
% now we set the lsb of cover_object(ii,jj) to the value of watermark(ii,jj)
watermarked_image=cover_object;
for ii = 1:Mc
for jj = 1:Nc
watermarked_image(ii,jj)=bitset(watermarked_image(ii,jj),1,watermark(ii,jj));
end
end
% write the watermarked image out to a file
imwrite(watermarked_image,'lsb_watermarked.bmp','bmp');
% display processing time
elapsed_time=cputime-start_time,
% calculate the PSNR
psnr=psnr(cover_object,watermarked_image,Mc,Nc),
% display watermarked image
figure(1)
imshow(watermarked_image,[])
title('Watermarked Image')
figure(2)
imshow(cover_object,[])
title('original image')
for ii = 1:Mc
for jj = 1:Nc
watermark1(ii,jj)=message1(mod(ii,Mm)+1,mod(jj,Nm)+1);
end
end
%watermark1=watermark1*256;
%message1=message1*256;
figure(3)
imshow(watermark1,[])
title('the watermark')
figure(4)
imshow(message1,[])
title('the watermark')
相关文章推荐
- Matlab学习笔记 变量的保存与清除
- MATLAB学习笔记之-----变量的保存与清除
- 学习笔记之MATLAB的MCR初探
- MATLAB学习笔记:区间估计
- MATLAB学习笔记之-----数列的循环移位操作
- MATLAB神经网络学习笔记之:对线性神经网络进行自适应训练
- matlab学习笔记(三)---图像的代数运算
- 【Matlab学习笔记】matlab的编程规则
- Matlab学习笔记1——基础
- 【Matlab学习笔记】【数学形态学】数字图像处理(MATLAB版)冈萨雷斯第九章学习笔记
- matlab学习笔记(六)---空域变换增强-直方图处理
- matlab 学习笔记
- Matlab图像处理学习笔记(三):基于匹配的目标识别
- MatLab建模学习笔记2——三维绘图
- MatLab建模学习笔记5——MatLab向TXT中读写数据
- MatLab建模学习笔记13——主成分分析(PCA)
- Matlab 变量 学习笔记 - 2
- 【学习笔记】matlab算法实现贝叶斯判别classify函数
- MATLAB入门学习笔记(三) 多项式函数
- 深度学习Caffe实战笔记(10)Windows Caffe使用MATLAB接口提取和可视化特征