Abstract: A method of characterizing a digital image, in which a point of interest (PI) in the detected in the image. For each ? of a plurality I of different prescribed orientations in the digital image a family {f?(k)(n)}1?K?K of K one-dimensional lines f?(k)(n) of points is extracted from a region (RPI) of the image along K straight lines of orientation (?), and for each line f?(k)(n) and for each sub-sampling level s, a foveal energy signal E?,s(k)(n) is calculated using foveal wavelets. The signals E?,s(k)(n)) on the K lines and their arguments n are used to calculate a foveal signature SI characterizing the working region.

Abstract: A method of characterizing a digital image, in which a point of interest (PI) in the detected in the image. For each ? of a plurality I of different prescribed orientations in the digital image a family {f?(k)(n)}1?k?K of K one-dimensional lines f?(k)(n) of points is extracted from a region (RPI) of the image along K straight lines of orientation (?), and for each line f?(k)(n) and for each sub-sampling level s, a foveal energy signal E?,s(k)(n) is calculated using foveal wavelets. The signals E?,s(k)(n)) on the K lines and their arguments n are used to calculate a foveal signature SI characterizing the working region.