Digital mammography images often contain noise proportional to the dose given to the patient. The signal to noise ratio is
typically improved by increasing the dose as noise reduction methods tend to blur clinically important edges and details,
such as fibers or calcifications. A new algorithm is presented to reduce noise while preserving features relevant in digital
mammography and allowing for an overall reduction of patient dose.