Background Suppression for Infrared Dim and Small Target Detection Using Local Gradient Weighted Filtering

Abstract

In this paper, a temporal local gradient weighted filtering based infrared dim small target background suppression method has been proposed. The highlight of the proposed method is that it utilizes the local gradient weighted filtering to deal with the temporal profile, which separates the small target from strong background clutter according to the difference of profile among small target, stable background and the edge of cloud. In this paper, two real low signal-to-clutter ratio (SCR) infrared imagery sequences containing moving dim small target are applied to verify the efficiency of the proposed method. Compared with several classical methods, the experimental results show that the performance of proposed method is superior to several other methods both in aspects of subjective visual and objective evaluation index.