A computer-implemented method is provided for processing images. The method comprises: down-sampling a plurality of first images having a first resolution for obtaining a plurality of second images having a second resolution, the first resolution being higher than the second resolution, each one of the plurality of second images being a down-sampled version of one of the plurality of first images; training an artificial neural network, ANN, model (40) to process an input image and output an output image having a higher resolution than the input image, wherein training data for the training comprises pairs of images, each pair of images including: one of the plurality of second images as an input to the ANN model (40); and one of the plurality of first images, corresponding to the one of the plurality of second images, as a desired output from the ANN model (40) in case the one of the plurality of second images is input to the ANN model (40); inputting at least one of the plurality of first images to the trained ANN model (40); and obtaining at least one output image from the trained ANN model (40), the at least one output image having a third resolution that is higher than the first resolution.