1. A method of processing image data by reducing image noise comprising: a) obtaining points of an image with respective values associated with the points, b) associating a learning zone, comprising a plurality of points, with a reference point of the image, and c) assigning the reference point new values obtained by a weighted statistical estimation, of weighted mean or weighted median type using the values of the points included in the learning zone, wherein c1) for each current point of the learning zone, evaluating a distance between a window around the reference point and a window around the current point based on a resemblance between the values of the points in the reference point window, centered on the reference point, and the values of the points in the current point window, of the same format as the reference point window and centered on the current point, and c2) repeating step c1) for the points of the learning zone in the guise of successive current points by using the distances obtained for all the current points to calculate the weights used in the weighted statistical estimation of step c).