The invention discloses an
image noise filtering method via median and mean value
iterative filtering of a minimal cross window, and aims at solving the problems that a present image de-noising method is hard to protect edge details and set parameters during de-noising. The
image noise filtering method is realized by the steps that (1)
noise points are found via an extremum method, and a binary map whose size is the same with that of an image is constructed; (2) the
noise density p is calculated; (3) if p < / = 0.525, the iterative median of the minimal cross window is used for filtering, namely, the median of non-
noise points in the minimal cross window replaces the value of each noise point in the noise image, iteration is carried out for another two times, whether all the noise points are processed is determined after iteration in each time, and if yes, a de-noising result is output; and (4) if p>0.525, the iterative mean value of the minimal cross window is used for filtering in a way similar to that via the iterative median. The
image noise filtering method has the advantages that it is not required to consider the size of windows, operation is easy, the de-noising efficiency is high, details of the image are kept effectively, and the method is more suitable for real-time application.