To create an autoencoder for watermark deleting in Matlab, we need to follow the steps below:
% Load the watermarked image and its corresponding original image
watermarked = imread('watermarked_image.png');
original = imread('original_image.png');
% Create an encoder network
encoderLayers = [
imageInputLayer([size(watermarked,1) size(watermarked,2) 3])
convolution2dLayer(3,16,'Padding','same')
reluLayer()
maxPooling2dLayer(2,'Stride',2)
convolution2dLayer(3,32,'Padding','same')
reluLayer()
maxPooling2dLayer(2,'Stride',2)
convolution2dLayer(3,64,'Padding','same')
reluLayer()
maxPooling2dLayer(2,'Stride',2)];
% Create a decoder network
decoderLayers = [
transposedConv2dLayer(2,64,'Stride',2)
convolution2dLayer(3,32,'Padding','same')
reluLayer()
transposedConv2dLayer(2,32,'Stride',2)
convolution2dLayer(3,16,'Padding','same')
reluLayer()
transposedConv2dLayer(2,3,'Stride',2)
regressionLayer()];
% Combine the encoder and decoder networks to form an autoencoder
autoencoder = [
encoderLayers
decoderLayers];
% Train the autoencoder using the pairs of images
options = trainingOptions('adam', ...
'InitialLearnRate', 0.001, ...
'MaxEpochs', 100, ...
'MiniBatchSize', 128, ...
'Shuffle', 'every-epoch', ...
'Verbose', false, ...
'Plots', 'training-progress');
net = trainNetwork(watermarked,original,autoencoder,options);
% Use the trained autoencoder to remove the watermark from a new watermarked image
newWatermarked = imread('watermarked_image2.png');
output = predict(net,newWatermarked);
imshow(output);
Note: This is just an example code to give you an idea of how to create an autoencoder for watermark deleting in Matlab. You may need to adjust the hyperparameters and network structure according to your specific task and dataset.