1. A method, comprising: separating a noise component from an original image resulting in a de-noised image; segmenting the de-noised image into a plurality of regions; determining a noise parameterization for the noise component comprising: for each region of the noise component corresponding to a region of the de-noised image, determining a noise parameterization, wherein the noise parameterization for each region of the noise component corresponding to a region of the de-noised image comprises a noise function and a parameter value used by the noise function; creating an image segmentation map correlating each region of the de-noised image with the noise parameterization of the corresponding region of the noise component; creating a noise dictionary specifying a list of different ones of the noise parameterizations specified within the image segmentation map, wherein the image segmentation map specifies for each region of the de-noised image, a reference to the noise parameterization within the noise dictionary for the corresponding region of the noise component; and compressing the de-noised image, the noise dictionary and the image segmentation map.