Nowadays, Machine Learning (ML) has become one of the most important topics of research because of the massive use into many applications such as self-driving cars, speech recognition, email spam recognition and in particular image recognition and processing. The involving of the ML in digital image processing can be used for different target applications, among them for example there are: medical visualization (to improve the medical imaging), pattern recognition, noise reduction, image enhancement, and so on. In this thesis a new type of neural network (NN) for image processing has been used. In fact, instead of using filters with fixed weights like in standard convolutional layers, this new NN uses space-variant coefficients.