1. A method for estimating additive noise in an image, said method comprising: computing a statistical feature value for each image patch in a plurality of image patches associated with an image-channel image; forming a histogram of said computed statistical feature values; identifying a first significant peak in said histogram; computing a peak-width measure of the identified first significant peak; and determining an additive noise estimate based on a comparison of the computed peak-width measure and a width threshold.