A method, implemented by computer means, for processing noise in a digital image having a plurality of image portions, the method comprising: a) Predefining: • criteria of interest for denoising selected details of any image portion of the digital image; • a plurality of possible processing procedures to be applied to an image portion in order to denoise said selected details, each processing procedure having an efficiency related to an associated complexity level, said possible processing procedures being ordered by increasing complexity level; b) For each portion of the image: • analyzing the image portion, the analysis comprising: quantifying a presence of one or more of said selected details in the image portion, and calculating an overall interest of the image portion as a function of respective quantifications of the presences of said selected details, the analysis further comprising the calculation of K interest metrics M 1,M 2,...,M K, respectively associated with the selected details, each metric being specific to one of said criteria of interest predefined, wherein the overall interest is calculated as a function of the K interest metrics IG=f(M 1, M 2,..., M K), and • comparing the overall interest at said complexity levels, in order to launch the processing procedure having the complexity level corresponding to the calculated overall interest, characterized in that each K interest metrics M 1,M 2,...,M K comprises one among and a percentage of pixels detected as writing in an image, a coherence of the motion vector field, a percentage of blocks in which the magnitude of the motion vector is greater than a given threshold, and a representative saliency value. a) Predefining: • criteria of interest for denoising selected details of any image portion of the digital image; • a plurality of possible processing procedures to be applied to an image portion in order to denoise said selected details, each processing procedure having an efficiency related to an associated complexity level, said possible processing procedures being ordered by increasing complexity level; • criteria of interest for denoising selected details of any image portion of the digital image; • a plurality of possible processing procedures to be applied to an image portion in order to denoise said selected details, each processing procedure having an efficiency related to an associated complexity level, said possible processing procedures being ordered by increasing complexity level; b) For each portion of the image: • analyzing the image portion, the analysis comprising: quantifying a presence of one or more of said selected details in the image portion, and calculating an overall interest of the image portion as a function of respective quantifications of the presences of said selected details, the analysis further comprising the calculation of K interest metrics M 1,M 2,...,M K, respectively associated with the selected details, each metric being specific to one of said criteria of interest predefined, wherein the overall interest is calculated as a function of the K interest metrics IG=f(M 1, M 2,..., M K), and • comparing the overall interest at said complexity levels, in order to launch the processing procedure having the complexity level corresponding to the calculated overall interest, characterized in that each K interest metrics M 1,M 2,...,M K comprises one among and a percentage of pixels detected as writing in an image, a coherence of the motion vector field, a percentage of blocks in which the magnitude of the motion vector is greater than a given threshold, and a representative saliency value. • analyzing the image portion, the analysis comprising: quantifying a presence of one or more of said selected details in the image portion, and calculating an overall interest of the image portion as a function of respective quantifications of the presences of said selected details, the analysis further comprising the calculation of K interest metrics M 1,M 2,...,M K, respectively associated with the selected details, each metric being specific to one of said criteria of interest predefined, wherein the overall interest is calculated as a function of the K interest metrics IG=f(M 1, M 2,..., M K), and • comparing the overall interest at said complexity levels, in order to launch the processing procedure having the complexity level corresponding to the calculated overall interest, characterized in that each K interest metrics M 1,M 2,...,M K comprises one among and a percentage of pixels detected as writing in an image, a coherence of the motion vector field, a percentage of blocks in which the magnitude of the motion vector is greater than a given threshold, and a representative saliency value.