Digital Movements Images Restoring by Artificial Neural Networks
Tarik Hajji, Mohcine Kodad, Jaara El Miloud · 2014
The objective of this work is to make the presentation of a new method that uses the power of artificial neural networks to the restoration and correction of errors in digital images in the case of a bad capturing of the image also be called the movement’s images. In this work, we will prove the effectiveness of artificial neural networks as a good solution for this problem. We will also present in this work, a new study to choose the structure of artificial neural networks most efficient and personalized learning algorithm to teach the neural network the recovery mechanism of such images.