The paper presents the mathematical model of radiometric image correction. Techniques to define a distorting system function are considered. The following image restoration algorithms: inverse filtering, minimum mean square error (Wiener) filtering and constrained least squares filtering (ridge regression) are provided and implemented in software. A comparative analysis of the mentioned algorithms has been carried out and their advantages and disadvantages relating to space imagery reconstruction have been elucidated.