Abstract: A method of detecting and quantifying blur in a digital image, making use of a computer and comprising: a step a) of obtaining a digital image comprising pixels; a step b) of obtaining a brightness parameter for each pixel, said step b) comprising a convolution operation with an edge detection matrix; a step c) of calculating a score S1 comprising the maximum, calculated over all the pixels, of the brightness parameter obtained in step b) and a second score S2 comprising a logistic function, and a step d) of evaluating the digital image, said digital image being considered to be blurry if the score S1 obtained in step c) is strictly less than a first predetermined threshold S10, the score S1 providing a first quantity of blur present in the digital image.

Abstract: A method of detecting and quantifying blur in a digital image, making use of a computer and comprising: a step a) of obtaining a digital image comprising pixels; a step b) of obtaining a brightness parameter for each pixel, said step b) comprising a convolution operation with an edge detection matrix; a step c) of calculating a score S1 comprising the maximum, calculated over all the pixels, of the brightness parameter obtained in step b) and a second score S2 comprising a logistic function, and a step d) of evaluating the digital image, said digital image being considered to be blurry if the score S1 obtained in step c) is strictly less than a first predetermined threshold S10, the score S1 providing a first quantity of blur present in the digital image.