Estimation of Parameter for Gibbs Random Distribution which is used in Image Processing

In this research, the parameter was estimated for Gibbs random distribution using different energy functions. We get the first algorithm by adding noise to the image and restore it by filters. We obtain the second algorithm by degradation of the image and restore it to the original image or close to it. The third algorithm has energy function which depends on the mean and standard deviation.