Model for quality loss rating of graphic image after lossy compression, focused on image recognition systems
Автор: Lapshenkov Evgeniy Miсhailovich
Журнал: Компьютерная оптика @computer-optics
Рубрика: Обработка изображений: Восстановление изображений, выявление признаков, распознавание образов
Статья в выпуске: 3 т.35, 2011 года.
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This article is devoted to development of model, and model-based method for quality loss rating of graphic image after lossy compression. Developed method is focused on rating of errors of objects edge detection on graphic image, and so it can be used at adjustment of image codec in machine vision systems.
Machine vision, object recognition, lossy compression, quality loss rating
Короткий адрес: https://sciup.org/14059033
IDR: 14059033
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