Image 水印图像的攻击

我正在做一个使用离散小波变换（DWT）和加密的图像水印项目。它是按照以下步骤进行的

1.）所选主机图像（水印将隐藏在其中的图像）。
2.）已选择水印。
3.）使用以下代码加密水印（Matlab代码）

4.）使用DWT进行水印处理

5.）使用恢复公式恢复加密水印

6.）使用以下代码解密水印

     % it will generate the 2 columns having maximum value u*v and  where u and v are dimensions(width and height) of recovered watermark from watermarked image. 
     recoverOrder = zeros([u*v], 2); 
     recoverOrder(:, 1) = 1 : (u*v); % make the first column value from 1: u*v 
     recoverOrder(:, 2) = scrambleOrder; % make second column value of randon permutation generated during encryption
     newOrder1 = sortrows(recoverOrder, 2); % sort rows of column1 and column 2
     newOrder = newOrder1(:,1); Eliminate column2
     redChannel = redChannel(newOrder); % New order value into red channel
     greenChannel = greenChannel(newOrder); % New order value into green channel
     blueChannel = blueChannel(newOrder); % New order value into blue channel
     redChannel = reshape(redChannel, [u, v]); % reshape red channel
     greenChannel = reshape(greenChannel, [u, v]); % reshape green channel
     blueChannel = reshape(blueChannel, [u, v]); % reshape blue channel
     D = cat(3, redChannel, greenChannel, blueChannel); % cat RGB and store it in D

我的问题是，我对带水印的图像进行了很多攻击，如旋转、缩放、剪切，但PSNR和MSE介于（水印和解密水印）之间，但对性能参数没有影响。 我认为在解密过程中，我使用了与加密图像相同的兰德排列。所以我认为，攻击并没有对解密图像产生任何影响

---

问题是在代码中查找什么。

似乎您必须将

扰码顺序

存储在加密图像文件中，这会导致A）大幅增加图像大小/记住一个巨大的密钥！B） 没有任何安全，因为钥匙无论如何都在那里；此外，这个问题似乎并不具体，也没有提出问题。一般来说，在这种情况下，问题是针对某个特定的问题而提出的，而这个问题是你一直在努力解决的。

     % it will generate the 2 columns having maximum value u*v and  where u and v are dimensions(width and height) of recovered watermark from watermarked image. 
     recoverOrder = zeros([u*v], 2); 
     recoverOrder(:, 1) = 1 : (u*v); % make the first column value from 1: u*v 
     recoverOrder(:, 2) = scrambleOrder; % make second column value of randon permutation generated during encryption
     newOrder1 = sortrows(recoverOrder, 2); % sort rows of column1 and column 2
     newOrder = newOrder1(:,1); Eliminate column2
     redChannel = redChannel(newOrder); % New order value into red channel
     greenChannel = greenChannel(newOrder); % New order value into green channel
     blueChannel = blueChannel(newOrder); % New order value into blue channel
     redChannel = reshape(redChannel, [u, v]); % reshape red channel
     greenChannel = reshape(greenChannel, [u, v]); % reshape green channel
     blueChannel = reshape(blueChannel, [u, v]); % reshape blue channel
     D = cat(3, redChannel, greenChannel, blueChannel); % cat RGB and store it in D