autoencoder for delete watemarks in matlab

main.m
% Load the image with the watermark
img = imread('image_with_watermark.png');

% Create a mask of the same size as the image
mask = zeros(size(img,1), size(img,2));
mask(50:150, 50:150) = 1;  % Assuming the watermark is present in this region

% Add noise to the image and the mask
img_noisy = imnoise(img, 'gaussian', 0, 0.01);
mask_noisy = imnoise(mask, 'gaussian', 0, 0.01);

% Normalize the values of the image and the mask
img_normalized = double(img_noisy) / 255.0;
mask_normalized = double(mask_noisy) / 255.0;

% Define the autoencoder network
input_size = [size(img,1),size(img,2),3];  % assuming RGB images
latent_size = 64;  % adjust according to the dataset and problem
autoencoder = createAutoencoder(input_size, latent_size);

% Train the autoencoder
options = trainingOptions('adam', 'MaxEpochs', 10);
[autoencoder, info] = trainNetwork(img_normalized, mask_normalized, autoencoder, options);

% Remove the watermark from a new image using the trained autoencoder
img_new = imread('new_image_with_watermark.png');
img_new_normalized = double(img_new) / 255.0;
mask_new = predict(autoencoder, img_new_normalized);
img_new_no_watermark = img_new_normalized ./ mask_new;
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