Artificial Neural Networks Applied For Digital Images With Matlab Code The Applications Of Artificial Intelligence In Image Processing Field Using Matlab [ Must Watch ]

% Denoise denoisedImgs = predict(autoenc, noisyImgs); Goal: Increase image resolution while preserving details.

% Detect objects [bboxes, scores, labels] = detect(detector, I); % Denoise denoisedImgs = predict(autoenc

% Prepare noisy-clean pairs noisyImgs = imnoise(cleanImgs, 'gaussian', 0, 0.01); % Build autoencoder hiddenSize = 100; autoenc = trainAutoencoder(noisyImgs, hiddenSize, ... 'EncoderTransferFunction', 'satlin', ... 'DecoderTransferFunction', 'purelin', ... 'L2WeightRegularization', 0.001); labels] = detect(detector

% Train network options = trainingOptions('adam', 'Plots', 'training-progress'); net = trainNetwork(imdsTrain, layers, options); % Build autoencoder hiddenSize = 100