Method of detecting and quantifying blur in a digital image, implemented on a computer and comprising: - a step a) of obtaining a digital image comprising pixels and colorimetric coding parameters associated with the pixels; - a step b) of obtaining a brightness parameter for each pixel from the digital image, said step b) comprising a convolution operation (2, 8) 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 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 S1 0, the score S1 providing a first quantity of blur present in the digital image, method characterized in that: - in step c), a score S2 is calculated comprising a logistic function f(x) defined as follows f x = A + K − A C + Qe − B x − M 1 / V in which - the parameter V is a maximum growth constant, - the parameter A is a minimal asymptote constant, - the parameter C is an offset constant, - the parameter Q is a post-amplification constant, - the parameter K is a maximal asymptote constant, - the parameter B is a pre-amplification constant, - the parameter M is an initialization constant, - x corresponds to the sum, calculated on all the pixels, of the brightness parameters obtained in step b), each of them divided by a calibration constant and by the number of pixels analyzed, the calibration constant is defined so that the parameter x is between 0 and 1, - in step d), the digital image is also considered to be blurry if the score S2 obtained in step c) is strictly less than a second predetermined threshold S2 0, the score S2 additionally providing a second quantity of blur present in the digital image. - a step a) of obtaining a digital image comprising pixels and colorimetric coding parameters associated with the pixels; - a step b) of obtaining a brightness parameter for each pixel from the digital image, said step b) comprising a convolution operation (2, 8) 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 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 S1 0, the score S1 providing a first quantity of blur present in the digital image, method characterized in that: - in step c), a score S2 is calculated comprising a logistic function f(x) defined as follows f x = A + K − A C + Qe − B x − M 1 / V in which - the parameter V is a maximum growth constant, - the parameter A is a minimal asymptote constant, - the parameter C is an offset constant, - the parameter Q is a post-amplification constant, - the parameter K is a maximal asymptote constant, - the parameter B is a pre-amplification constant, - the parameter M is an initialization constant, - x corresponds to the sum, calculated on all the pixels, of the brightness parameters obtained in step b), each of them divided by a calibration constant and by the number of pixels analyzed, the calibration constant is defined so that the parameter x is between 0 and 1, - in step d), the digital image is also considered to be blurry if the score S2 obtained in step c) is strictly less than a second predetermined threshold S2 0, the score S2 additionally providing a second quantity of blur present in the digital image. - the parameter V is a maximum growth constant, - the parameter A is a minimal asymptote constant, - the parameter C is an offset constant, - the parameter Q is a post-amplification constant, - the parameter K is a maximal asymptote constant, - the parameter B is a pre-amplification constant, - the parameter M is an initialization constant, - x corresponds to the sum, calculated on all the pixels, of the brightness parameters obtained in step b), each of them divided by a calibration constant and by the number of pixels analyzed, the calibration constant is defined so that the parameter x is between 0 and 1, - in step d), the digital image is also considered to be blurry if the score S2 obtained in step c) is strictly less than a second predetermined threshold S2 0, the score S2 additionally providing a second quantity of blur present in the digital image.