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Novel air quality measure method based on image blur metric

A new method to measure air quality using image blur metric was proposed. The classification of blur degree based on local image blocks helps to achieve autonomy selection of the visual attention region. Then the relationship between image blur degree and the concentration of air particulate matters was analyzed. The results show that the correlation between the image blur degree and the PM2.5 concentration is the best, and the correlation coefficient reached 0.76. Therefore the image blur degree evaluation can be used as a measure of air quality.