A Dim Small Infrared Moving Target Detection Algorithm Based on Improved Three-Dimensional Directional Filtering

In this paper, we introduce a new detection method for extremely weak moving target in infrared image sequences based on the novel three-dimensional directional filtering. The main points of the method are, first, we use a dual-diffusion partial differential equation (DFPDE) to pre-whitening an image, which can suppress the constructive texture background effectively and keep the target signal steadily. And second, to match precise target motion characteristic, we propose a Wide-to-Exact search method that can improve the speed of filtering. Experiment results demonstrate that our method can perform good detection results, even at poor signal-to-noise ratio.