LSB code

I want hide a text in image using LSB algorithm

for example:

X = image;
S = secret message;

I write:

X2(:)=bitset(X(:),1,S(:));

but when run i have an error

"??? Error using ==> bitset
Inputs must be non-negative integers."

after convert to binary i have another error

??? Undefined function or method 'bitset' for input arguments of type 'char'.

please help me.

[Michael Chan]

Similar methods are used in Matlab in the following example for static images:

http://www.mathworks.com/matlabcentral/fileexchange/36288-embedding-hiding-image-within-image-with-n-bit-lsb-steganography

http://www.mathworks.com/matlabcentral/fileexchange/36275-image-description-notes-with-n-bit-lsb-steganography

Answer 1

[Image Analyst]

Well here's my demo. It lets you hide an watermark image, which may be bigger or smaller than a cover image, into a user-specified bitplane of the cover (original) image. If the watermark is bigger than the original image, it scales it down. If the watermark is smaller, it tiles it. The watermark image can be grayscale and you can specify where you want it thresholded at. It uses standard MATLAB demo images. If the images are color, it takes the red channel - I haven't made it to work with color images. At the end it adds noise and recovers the watermark from the noise-free and noisy images, so you can see how lousy this method is as far as being robust to attack.

% Demo to watermark an image by hiding another image in a certain bit
% plane.  Sometimes called "LSB Watermarking" or something similar.
% User is asked which bit plane they want to hide the image in.
% By Image Analyst.

clc;    % Clear the command window.
close all;  % Close all figures (except those of imtool.)
imtool close all;  % Close all imtool figures.
clear;  % Erase all existing variables.
workspace;  % Make sure the workspace panel is showing.
fontSize = 12;

% Read in the image what will have another image hidden into it.
baseFileName='moon.tif';
% baseFileName='cameraman.tif';
folder = fullfile(matlabroot, '\toolbox\images\imdemos');
% Get the full filename, with path prepended.
fullFileName = fullfile(folder, baseFileName);
if ~exist(fullFileName, 'file')
  % Didn't find it there.  Check the search path for it.
  fullFileName = baseFileName; % No path this time.
  if ~exist(fullFileName, 'file')
    % Still didn't find it.  Alert user.
    errorMessage = sprintf('Error: %s does not exist.', fullFileName);
    uiwait(warndlg(errorMessage));
    return;
  end
end
originalImage = imread(fullFileName);

% Get the number of rows and columns in the original image.
[visibleRows visibleColumns numberOfColorChannels] = size(originalImage);
if numberOfColorChannels > 1
  % If it's color, extract the red channel.
  originalImage = originalImage(:,:,1);
end

% Display the original gray scale image.
subplot(3, 3, 4);
imshow(originalImage, []);
title('Original Grayscale Starting Image', 'FontSize', fontSize);
% Enlarge figure to full screen.
set(gcf, 'units','normalized','outerposition',[0 0 1 1]);
set(gcf,'name','Demo by ImageAnalyst','numbertitle','off') 

% read the message image you want to hide in the cover image
baseFileName='cameraman.tif';
% baseFileName='moon.tif';
% Get the full filename, with path prepended.
fullFileName = fullfile(folder, baseFileName);
if ~exist(fullFileName, 'file')
  % Didn't find it there.  Check the search path for it.
  fullFileName = baseFileName; % No path this time.
  if ~exist(fullFileName, 'file')
    % Still didn't find it.  Alert user.
    errorMessage = sprintf('Error: %s does not exist.', fullFileName);
    uiwait(warndlg(errorMessage));
    return;
  end
end
hiddenImage = imread(fullFileName);
% Get the number of rows and columns in the hidden image.
[hiddenRows hiddenColumns numberOfColorChannels] = size(hiddenImage);
if numberOfColorChannels > 1
  % If it's color, extract the red channel.
  hiddenImage = hiddenImage(:,:,1);
end
% Display the image.
subplot(3, 3, 1);
imshow(hiddenImage, []);
title('Image to be Hidden', 'FontSize', fontSize);

% Let's compute and display the histogram.
[pixelCount grayLevels] = imhist(hiddenImage);
subplot(3, 3, 2); 
bar(pixelCount);
title('Histogram of image to be hidden', 'FontSize', fontSize);
xlim([0 grayLevels(end)]); % Scale x axis manually.
grid on;

thresholdValue = 70;
binaryImage = hiddenImage < thresholdValue;
% Display the image.
subplot(3, 3, 3);
imshow(binaryImage, []);
caption = sprintf('Hidden Image Thresholded at %d', thresholdValue);
title(caption, 'FontSize', fontSize);

% Get the bit plane to hide the image in.
prompt = 'Enter the bit plane you want to hide the image in (1 - 8) ';
dialogTitle = 'Enter Bit Plane to Replace';
numberOfLines = 1;
defaultResponse = {'1'};
bitToSet = str2double(cell2mat(inputdlg(prompt, dialogTitle, numberOfLines, defaultResponse)));

% If image to be hidden is bigger than the original image, scale it down.
if hiddenRows > visibleRows || hiddenColumns > visibleColumns
  amountToShrink = min([visibleRows / hiddenRows, visibleColumns / hiddenColumns]);
  binaryImage = imresize(binaryImage, amountToShrink);
  % Need to update the number of rows and columns.
  [hiddenRows hiddenColumns] = size(binaryImage);
end

% Tile the hiddenImage, if it's smaller, so that it will cover the original image.
if hiddenRows < visibleRows || hiddenColumns < visibleColumns
  watermark = zeros(size(originalImage), 'uint8');
  for column = 1:visibleColumns
    for row = 1:visibleRows
      watermark(row, column) = binaryImage(mod(row,hiddenRows)+1, mod(column,hiddenColumns)+1);
    end
  end
  % Crop it to the same size as the original image.
  watermark = watermark(1:visibleRows, 1:visibleColumns);
else
  % Watermark is the same size as the original image.
  watermark = binaryImage;
end
% Display the thresholded binary image - the watermark alone.
subplot(3, 3, 5);
imshow(watermark, []);
caption = sprintf('Hidden Image\nto be Inserted into Bit Plane %d', bitToSet);
title(caption, 'FontSize', fontSize);

% Set the bit of originalImage(a copy, actually) to the value of the watermark.
watermarkedImage=originalImage;
for column = 1:visibleColumns
  for row = 1:visibleRows
    watermarkedImage(row, column)=bitset(originalImage(row, column), bitToSet, watermark(row, column));
  end
end
% Display the image.
subplot(3, 3, 6);
imshow(watermarkedImage, []);
caption = sprintf('Final Watermarked Image\nwithout added Noise');
title(caption, 'FontSize', fontSize);

% add noise to watermarked image
noisyWatermarkedImage = imnoise(watermarkedImage,'gaussian');

% Display the image.
subplot(3, 3, 7);
imshow(noisyWatermarkedImage, []);
caption = sprintf('Watermarked Image\nwith added Noise');
title(caption, 'FontSize', fontSize);

%====================================================================================
% Now let's pretend we are starting with the watermarked noisy corrupted image.
% We want to recover the watermark.

% Use the known bitplane of watermarked image to recover the watermark.
recoveredWatermark = zeros(size(noisyWatermarkedImage));
recoveredNoisyWatermark = zeros(size(noisyWatermarkedImage));
for column = 1:visibleColumns
  for row = 1:visibleRows
    recoveredWatermark(row, column) = bitget(watermarkedImage(row, column), bitToSet);
    recoveredNoisyWatermark(row, column) = bitget(noisyWatermarkedImage(row, column), bitToSet);
  end
end

% Scale the recovered watermark to 0=255
recoveredWatermark = uint8(255 * recoveredWatermark);
recoveredNoisyWatermark = uint8(255 * recoveredNoisyWatermark);

% Display the images.
subplot(3, 3, 8);
imshow(recoveredWatermark, []);
caption = sprintf('Watermark Recovered\nfrom Bit Plane %d of\nNoise-Free Watermarked Image', bitToSet);
title(caption, 'FontSize', fontSize);
% Display the images.
subplot(3, 3, 9);
imshow(recoveredNoisyWatermark, []);
caption = sprintf('Watermark Recovered\nfrom Bit Plane %d of\nNoisy Watermarked Image', bitToSet);
title(caption, 'FontSize', fontSize);
msgbox('Done with demo!');

[Aseel H]

thank you very much for demo

but I need to hide text in image by simple code

such as:

text = 'abcdef';

imge = imread('x.jpg');

binary = str2bin(text);

after that I want hide (binary) in (imge) using LSB algorithm

please help me

thanks

[Image Analyst]

No problem. Perhaps it will help someone who wants to hide an image in another image. Use Chandra's code below if you want to hide text in an image.

[rasma khan]

Thank u so much for the help!

[DHARMRAJ PRASAD]

What is Chandra's code??

[budi agung]

is there a way to make the watermark still in grayscale after extract?

[Walter Roberson]

The demo creates a grayscale watermark.

[Image Analyst]

The demo binarizes an watermark image and puts it into a single bit plane of a gray scale cover image. You could adapt it to hide a gray scale watermark image by extracting each bitplane of the gray scale watermark image (so now you have 8 binary bit plane images for an 8 bit gray scale image) and hide them all in a single bitplane of the cover image. Of course this would take up 8 times as much real estate in the cover image as hiding a single bitplane. My demo does not do that but you're welcome to adapt it.

[gina lion]

exuse me can i contact you on e-mail

?

[Image Analyst]

Sorry, no.

[Gabriela del Pilar Rojas Rubiano]

Hi, good night

what is the reason of put in the demo the function of noise. What happen if i dont use it? it would change in something? And what does it mean the threshold at 70?

thanks

[Walter Roberson]

A standard question with watermarking is how well the watermark survives if the user changes the image. For example if the user deliberately zeros out the least significant bit of the green color pane, then will the program pull back complete garbage, or will the program pull back an incomplete watermark? If the user saves the image as JPEG and retrieves it, then how well the watermark survive?

Because that is such an important question for watermarks (and even more important for steganography), it make sense to demonstrate what it would look like to recover the watermark from an image that has had noise added.

[Gabriela del Pilar Rojas Rubiano]

Thank you so much. You are the best.

And you know what is the reason of use the threshold at 70?

[Walter Roberson]

I do not know why the threshold of 70 was chosen, or why it was chosen to take image < threshold, which effectively inverts the foreground and background.

I do notice that graythresh() suggests that the median energy is about 88 -- so the image is a bit darker than would be expected by random chance (which would average 127.5). That gives us some justification that any threshold should be a bit lower than halfway.

It would not astonish me if Image Analyst had just picked a value that "looked good".

[Gabriela del Pilar Rojas Rubiano]

I got it, thank you so much. it was very helpful :D

[tuan trinh]

i want to change images but i don't know how to use it

[Image Analyst]

@tuan trinh to change images, look to where I specify baseFileName and folder and change them to be appropriate for your particular images on your computer.

Answer 2

[Walter Roberson]

What data types are X and S? That is, what does class() report for each of them?

Your S must be a vector of values, each 0 or 1. It cannot be '0' or '1', and it cannot be (e.g) 72 (which corresponds to the coding for 'H')

[Aseel H]

X is a variable to identify the image

S is a variable to identify the text that i want hide it in image

please if you have code hide text in image using LSB algorithm send me

thanks

Answer 3

[pratiksha patil]

But how can I again extract the original message file???????

[Aseel H]

cover = imread('watermarked.bmp');
cl = 10; % length of message character 'abcdefghij'
idk = 1;
for row = 1 : size(cover,1)
 for col = 1 : size(cover,2)
 if idk <= cl * 8
 bin_vector(idk) = bitget(cover(row,col), 7); 
 idk = idk + 1;
 end
 end
end
for x = 1 : cl
 bin(x,:) = bin_vector((x-1)*8 + 1 : x*8);
 dec(x) = bin2dec(num2str(bin(x,:)));
end
message = char(dec);

[Michael Chan]

Similar methods are used in Matlab in the following example for static images:

http://www.mathworks.com/matlabcentral/fileexchange/36288-embedding-hiding-image-within-image-with-n-bit-lsb-steganography

http://www.mathworks.com/matlabcentral/fileexchange/36275-image-description-notes-with-n-bit-lsb-steganography

[Sanjeeb Behera]

When I run this code it gives an error in below line bin_vector(idk) = bitget(cover(row,col), 7);

Error - The variable bin_vector appears to change size on every loop iteration (within script). Consider perallocating for speed

[Walter Roberson]

That would not be an error, it would be a warning given by the editor. It is a matter of efficiency, not a matter of being incorrect MATLAB. If you want to avoid the warning you can use

    bin = zeros(cl, 8);

before the "for x = 1 : cl" loop.

Answer 4

[sha]

This is my example of extraction..

hopefully you can try..

%determined the size of watermarked image

mw=size(image1,1); %heigth of the watermarked image

nw=size(image1,2); %width of the watermarked image

for ii = 1: mw

      for jj = 1 : nw
          watermark (ii,jj) = bitget(image1(ii,jj),1);
      end
  end    

figure(2)

imshow(watermark);  

title('extracted image');     % watermark image for watermarking

[ghassan78]

ok my bro , but i think this code don't work with color watermark ... just with gray

Answer 5

[Swati Nagpal]

I m working on lsb to hide text behind an image I have done the encryption part but I m having problem in decryption of lsb. So j request you to help me in that or pls share code for retrieval of hidden message from the image.

[Image Analyst]

I believe my answer did that, didn't it? If not, tell me what about it didn't work, and attach your cover image and secret image so that the problem can be demonstrated.

Answer 6

[Ariba Tariq]

I am working on LSB to hide parts of one secret image into multiple cover images and then trying to recover secret from all the cover images. It would help me a lot if anybody can guide me through this or share a code of similar concept.

[Image Analyst]

To process a sequence of files with my code, make my code a function, then put it inside a for loop that you get from the FAQ: https://matlab.wikia.com/wiki/FAQ#How_can_I_process_a_sequence_of_files.3F