Engineering & Technologies, 2016, 9(3), 435-441 ~ ~ ~ УДК 004.932.4 The Algorithm for Compensating Distortion of Images of Type “Blur” Vitaly V. Vasilyev Military educational scientifi c center of the air force “Air force Academy named after Professor N. E. Zhukovsky and Y. A. Gagarin” (Voronezh) 54a Starykh Bol’shevikov Str., Voronezh, 394064, Russia Received 12.12.2015, received in revised form 18.01.2016, accepted 29.01.2016 The paper considers the model of linear blurring with a uniform rectilinear motion of an object when its speed is constant, and its direction is parallel to the lines of the formed image. <...> A system of equations for the restoration of the original video signal samples undistorted image of the object is obtained. <...> Processed the frame of a real video sequence with a horizontal blur and presented its results. <...> Considered the comparison of the results of the restoration of distorted images by the proposed algorithm with known methods. <...> Keywords: model of linear blurring of the image, formation, image reconstruction and correction of image distortions. <...> Citation: Vasilyev V.V. The algorithm for compensating distortion of images of type “blur”, J. Sib. <...> Старых Большевиков, 54а В статье рассмотрена модель линейного смаза при равномерном прямолинейном движении объекта, когда его скорость постоянна и ее направление параллельно формируемым строкам изображения. <...> Предложен алгоритм компенсации линейного смаза, основанный на учете физических процессов его формирования при получении изображения. <...> All rights reserved * Corresponding author E-mail address: warner88@mail.ru # 435 # Vitaly V. Vasilyev. <...> The Algorithm for Compensating Distortion of Images of Type “Blur” объекта. <...> Выполнена обработка кадра реальной видеопоследовательности с горизонтальным смазом и приведены ее результаты. <...> Now for recording, processing and transferring images the most widespread technical system of measurement and processing of information (imaging devices and computing devices) that are usually present output in the form of digital images [1]. <...> However, what one sees on the screen, i.e. the digital image, not always perfectly refl ect the picture of the world. <...> As a result, it becomes necessary restoring distorted images by mathematically way [2]. <...> This work is devoted <...>