Reconstruction algorithm an object image based on a series of its images distorted in a random environment

The article considers an algorithm for statistical blind deconvolution of images distorted in a random environment and registered as a set of random implementations. The proposed approach reduces the problem of statistical blind image deconvolution to the problem of blind identification of one-dimensional signals. Further, the technique of second-order polynomial statistics generated by random polynomials is used to solve the one-dimensional problem. The article presents the results of modeling the proposed algorithm.