Method for obtaining a transformed image (I-Transf) on the basis of a digital image (INUM) of a string of apparatuses; the said string of apparatuses comprising image capture apparatuses and/or image restitution apparatuses; the said string of apparatuses comprising at least one apparatus; the said method comprising: - the step of automatically determining characteristic data on the basis of formatted information relating to defects of the said string of apparatuses and/or on the basis of the said digital image; the said characteristic data being hereinafter dubbed the data characteristic of the noise (DcB); - the step of calculating the said transformed image (I-Transf) on the basis of the said formatted information and of the said data characteristic of the noise (DcB); the method furthermore comprising, to determine the data characteristic of the noise: - the step of selecting on the said digital image (INUM) analysis zones, especially as a function of the apparatuses of the string of apparatuses and/or of the formatted information, - the step of calculating local variations of luminance over the said analysis zones, - the step of deducing the said data characteristic of the noise (DcB) as a function of a statistical calculation of occurrence of the said local variations over the set of said analysis zones, this deduction being performed in the following manner: - a histogram (HC1,HC2,HC3) of the occurrences of the said local variations of luminance is constructed, and - at least one part of the part situated before the first local maximum, including the latter, is selected on the said histogram; the method being characterized in that it furthermore comprises, to select on the said digital image (INUM) analysis zones, the step of classing the said analysis zones according to their average luminance, so as to obtain classes (C1,C2,C3); and in that it furthermore comprises: - the step of deducing the data characteristic of the noise (DcB) for the analysis zones (ZANi, ZANj, ZANp) belonging to the same class, - the step of iterating the previous step for each of the classes (C1,C2,C3); so that data characteristic of the noise (DcB) depending on the luminance are thus obtained. - the step of automatically determining characteristic data on the basis of formatted information relating to defects of the said string of apparatuses and/or on the basis of the said digital image; the said characteristic data being hereinafter dubbed the data characteristic of the noise (DcB); - the step of calculating the said transformed image (I-Transf) on the basis of the said formatted information and of the said data characteristic of the noise (DcB); - the step of selecting on the said digital image (INUM) analysis zones, especially as a function of the apparatuses of the string of apparatuses and/or of the formatted information, - the step of calculating local variations of luminance over the said analysis zones, - the step of deducing the said data characteristic of the noise (DcB) as a function of a statistical calculation of occurrence of the said local variations over the set of said analysis zones, this deduction being performed in the following manner: - a histogram (HC1,HC2,HC3) of the occurrences of the said local variations of luminance is constructed, and - at least one part of the part situated before the first local maximum, including the latter, is selected on the said histogram; - the step of deducing the data characteristic of the noise (DcB) for the analysis zones (ZANi, ZANj, ZANp) belonging to the same class, - the step of iterating the previous step for each of the classes (C1,C2,C3);