An algorithm for the restoration of blurred image obtained with a rotating camera tilted to the horizon
Автор: Kozak Anatoly Vsevolodovich, Steinberg Oleg Borisovich, Steinberg Boris Yakovlevich
Журнал: Компьютерная оптика @computer-optics
Рубрика: Обработка изображений, распознавание образов
Статья в выпуске: 2 т.44, 2020 года.
Бесплатный доступ
This work is a continuation of the authors’ previous publications, in which the restoration of images obtained with a horizontally rotating camera was considered. In this paper, a mathematical model is constructed for reconstructing blurred images obtained with a camera rotating in the horizontal plane and having its optical axis tilted at an angle to the horizon. The method of image restoration involves constructing a strip of spherical panorama from the original images. Results of numerical experiments that confirm the good quality of the presented image recovery method and the high performance of the developed algorithm are presented.
Optical devices, image processing, machine vision, blurred image, computation errors, convolution
Короткий адрес: https://sciup.org/140247092
IDR: 140247092 | DOI: 10.18287/2412-6179-CO-598