Saliency-based dual-layer contrast method for infrared small target detection

Traditional infrared small target detection can easily cause false alarm detection in complex environment, therefore, to address this issue, we present a saliency-based dual-layer contrast method for infrared small target detection. Firstly, the possible region of the target can be obtained by calculating the spectral residuals of the original infrared images. Secondly, the double-layer local contrast detection method can be used for identification in this area. Finally, the small target can be detected by adaptive threshold segmentation method. Experimental results indicate that compared with traditional detection algorithms, the proposed algorith can enhance targets, suppress background and noise in different scenes, higher detection efficiency, and meet the real-time requirements.