WEEK 8 FYP 2

Title:

Combining method 2 coding with GUI

Objective:

To combine and finalize the coding and GUI for Method 2: Masking and Filtering

Content/Result:

After I completing the coding process and GUI, now I combined it together to show the output which contains the original image and the stego image by using Masking and Filtering method. Below is the full programmed for Masking and Filtering method. The "Michael Jackson" image is the original image. The "Pirates" is the secret image that need to be hide. When the "Michael Jackson" is embedded, its contains the secret image in it.

Conclusion:

After applying the coding, the luminance of the cover image; "Michael Jackson" is slightly different. However he differences between those two image is cannot slightly detected by human visual system.

WEEK 7 FYP 2

Title:

Built Graphic User Interface (GUI)

Objective:

To create Graphic User Interface (GUI) for MATLAB coding

Content/Result:

I built GUI that will be use together with coding from last week. Below is the GUI for LSB method. To run the GUI, user needs to:

1. Select the cover image
2. Select the secret image
3. Press hide the image button
4. Save the embedded image
5. Press recover image button to recover image

Conclusion:

This GUI will be used as my Interface together with the Masking and Filtering coding. User can see the original image and the hidden image before and after the stego process.

WEEK 6 FYP 2

Title:

Masking and Filtering Source Code

Objective:

To gain and generate the coding for Image Steganography by using Masking and Filtering method

Content/Result:

For masking and filtering, I changed the luminance of the cover image by inserting the hidden image in it. The steps that I've done are:

1. read the cover and hidden image
2. cover the cover image into binary matrix
3. hide the hidden image into the matrix of cover matrix
4. update the binary matrix of the cover image
5. convert back the update binary matrix of cover + hidden into numerical
6. extract the hidden image
7. update the binary matrix of the cover image

Some of the coding examples is as below:

function [I_image_rev] = mf_image(coverimg, hiddenimg)

%% read the cover and hidden images

I_image = coverimg;

I_hidden = hiddenimg;

[m,n,o]=size(I_image);

[m1,n1] = size(I_hidden);

%% cover the cover image into binary matrix

for i=1:m,

    for j=1:n,

        for k=1:o,

            I_image_bin{i,j,k} = {dec2bin(I_image(i,j,k),8)};

        end

    end

end

%% hide the hidden image into the matrix of cover matrix

for i=1:m1,

    for j=1:n1,

            I_image_hidden{i,j} = {dec2bin(I_hidden(i,j),8)};

            

            binaryof_I_image_hidden = cell2mat(I_image_hidden{i,j});

            

            binaryof_I_image_bin_1st_R = cell2mat(I_image_bin{(i-1)*3+1,j,1});

            binaryof_I_image_bin_1st_G = cell2mat(I_image_bin{(i-1)*3+1,j,2});

            binaryof_I_image_bin_1st_B = cell2mat(I_image_bin{(i-1)*3+1,j,3});

            binaryof_I_image_bin_2nd_R = cell2mat(I_image_bin{(i-1)*3+2,j,1});

            binaryof_I_image_bin_2nd_G = cell2mat(I_image_bin{(i-1)*3+2,j,2});

            binaryof_I_image_bin_2nd_B = cell2mat(I_image_bin{(i-1)*3+2,j,3});

            binaryof_I_image_bin_3rd_R = cell2mat(I_image_bin{(i-1)*3+3,j,1});

            binaryof_I_image_bin_3rd_G = cell2mat(I_image_bin{(i-1)*3+3,j,2});

            binaryof_I_image_bin_3rd_B = cell2mat(I_image_bin{(i-1)*3+3,j,3});

            

    

Conclusion:

I hide the secret image by changing the luminance of the cover image. The differences between those two image is cannot slightly detected by human visual system.