auto encoder for watermark remove from picture in matlab

To use autoencoder for watermark removal from an image in Matlab, follow these steps:

  1. Load the image into Matlab using the imread function.
main.m
I = imread('image_with_watermark.png');

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  1. Convert the image to grayscale using the rgb2gray function.
main.m
grayImage = rgb2gray(I);

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  1. Prepare the data for the autoencoder. The input data will be the original image with watermark and the output data will be the original image without watermark.
main.m
data = double(reshape(grayImage, [], 1));
outputData = double(reshape(grayImageWithoutWatermark, [], 1));

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  1. Define the autoencoder architecture using the autoencoder function.
main.m
hiddenSize = 1000;
autoenc = autoencoder(size(data, 1), hiddenSize);

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  1. Train the autoencoder using the trainAutoencoder function.
main.m
numEpochs = 100;
L2Weight = 0.0001;
autoenc = trainAutoencoder(data', hiddenSize, ...
    'EncoderTransferFunction', 'logsig', ...
    'DecoderTransferFunction', 'logsig', ...
    'L2WeightRegularization', L2Weight, ...
    'SparsityRegularization', 4, ...
    'SparsityProportion', 0.25, ...
    'ScaleData', false, ...
    'MaxEpochs', numEpochs, ...
    'UseGPU', false);

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  1. Use the trained autoencoder to remove the watermark from the image.
main.m
watermarkRemovedData = predict(autoenc, data');

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  1. Reshape the watermark removed data to the original image size and convert it to uint8.
main.m
watermarkRemovedImage = reshape(watermarkRemovedData, size(grayImage)) / 255;
watermarkRemovedImage = mat2gray(watermarkRemovedImage);
watermarkRemovedImage = uint8(watermarkRemovedImage * 255);

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  1. Display the watermark removed image using the imshow function.
main.m
imshow(watermarkRemovedImage);

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related categories

matlab
autoencoder
image-processing

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