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Model for quality loss rating of graphic image after lossy compression, focused on image recognition systems
Journal: Компьютерная оптика @computer-optics
Section: Обработка изображений: Восстановление изображений, выявление признаков, распознавание образов
Article in issue: 3 т.35, 2011.
Free access
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
Short address: https://sciup.org/14059033
IDS: 14059033
