Таблично-алгоритмічний метод для антиаліайзингу зображення відрізків прямих

 Increasing the informativeness of computer graphics is achieved due to the formation of images that accurately reproduce the structural and visual features of the object. When forming such images, it is necessary to display graphic scenes with great detail, therefore, at this stage of the...

Повний опис

Збережено в:
Бібліографічні деталі
Дата:2023
Автори: Башков, Є.О., Курінний, М. С.
Формат: Стаття
Мова:Ukrainian
Опубліковано: Vinnytsia National Technical University 2023
Теми:
Онлайн доступ:https://oeipt.vntu.edu.ua/index.php/oeipt/article/view/643
Теги: Додати тег
Немає тегів, Будьте першим, хто поставить тег для цього запису!
Назва журналу:Optoelectronic Information-Power Technologies

Репозитарії

Optoelectronic Information-Power Technologies
Опис
Резюме: Increasing the informativeness of computer graphics is achieved due to the formation of images that accurately reproduce the structural and visual features of the object. When forming such images, it is necessary to display graphic scenes with great detail, therefore, at this stage of the development of computer graphics, special attention is paid not only to the speed of forming graphic images, but also to their realism. In most modern computer graphics systems, the raster principle of image formation is used. When creating raster images, distortions occur due to the insufficient resolution of the raster. Artifacts appear on the images, one of the manifestations of which are pronounced steps or teeth on the edges of objects. The aliasing effect significantly affects the realism of the formed image, which necessitates the development of special methods and means of its elimination The tabular method of vector anti-aliasing was further developed. It is proposed to calculate the values of the evaluation function to store its values with a larger quantization step, and to calculate the intermediate ones according to the derived formula. The analysis showed that the use of the proposed approach allows reducing by 8¸17 times the amount of memory needed to calculate the pixel coverage area. The method involves hardware and software implementation and can be used in high-performance computer graphics systems.