Presents a method for the detection of small objects embedded in a noisy background. The detection is performed on the wavelet transformed image. After a preliminary de-noising pass, the objects are separated from background by exploiting the evaluation of Renyi's information at the different decomposition levels of the wavelet transform. We apply the proposed technique to detect microcalcifications in digital mammographic images.