Igor Beli^, Aleksander Pur Neural Network for the Fast Gaussian Distribution Test

There are several problems where it is very important to know whether the tested data are distributed according to the Gaussian law. At the detection of the hidden information within the digitized pictures (steganography), one of the key factors is the analysis of the noise contained in the picture. The incorporated noise should show the typically Gaussian distribution. The departure from the Gaussian distribution might be the first hint that the picture has been changed – possibly new information has been inserted. In such cases the fast Gaussian distribution test is a very valuable tool. The article describes the phase of the noise (in the picture) extraction and the distribution formation. The second phase of the noise analysis is performed by the neural network. The neural network is trained to recognize the Gaussian distribution of the noise. The trained neural network successfully performs the fast Gaussian distribution test.