Hi Adil,
I understand that you are interested in learning about image encryption algorithms based on Substitution Boxes (S-boxes) and how to convert any image channel or matrix to a 256x256 size.
Understanding S-box-based Image Encryption:
S-boxes are used in cryptography to perform substitution operations, providing non-linearity in encryption algorithms. In image encryption, an S-box can be used to substitute pixel values to encrypt the image.
% Example S-box (simple for demonstration)
S_box = uint8([0, 1, 2, ..., 255]); % Define an S-box for substitution
Encryption Process:
To encrypt an image, substitute each pixel value using the S-box. This can be done by mapping the pixel values through the S-box.
encrypted_image = S_box(original_image + 1); % Substitute using S-box
Resizing an Image Channel to 256x256:
Use the "imresize" function to resize an image or matrix channel to 256x256. This is useful for standardizing image input sizes.
resized_image = imresize(original_channel, [256, 256]); % Resize image
Example Workflow:
Load an image, apply the S-box encryption, and resize the encrypted image to 256x256.
original_image = imread('image.png'); % Load an image
encrypted_image = S_box(original_image + 1); % Apply S-box encryption
resized_encrypted_image = imresize(encrypted_image, [256, 256]); % Resize
Displaying Results:
Display the original, encrypted, and resized images to visualize the effects of encryption and resizing.
figure, imshow(original_image), title('Original Image');
figure, imshow(encrypted_image), title('Encrypted Image');
figure, imshow(resized_encrypted_image), title('Resized Encrypted Image');
Refer to the documentation of "imresize": https://www.mathworks.com/help/matlab/ref/imresize.html for more details on the resizing function.
Hope this helps!
