Method for calculating the adequacy parameters of image mathematical model

A structure of an artificial neural network for assessing the similarity of a pair of images, comparing the quality of its work with other criteria for image similarity are presented. Based on the proposed artificial neural network, a methodology for estimating the adequacy of mathematical image model by the estimation of its similarity to real images has been developed. A comparison of the estimation of the adequacy of the mathematical image model by the classical method and using the proposed methodology on the example of a Gaussian mathematical image model has ben conducted.