Model for quolity loss rating of graphic image after lossy compression, focused on image recognition systems
E.M. Lapshenkov

Full text of article: Russian language.

Abstract:
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.

Key words:
machine vision, object recognition, lossy compression, quality loss rating.

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