Abstract:

For infrared images with the characteristics of low signal-to-clutter ratio (SCR) and contrast ratio (CR), a small and weak target background suppression method based on surfacelet transform is proposed to solve the problem, and a designed function is introduced to boost the ability to suppress false information by background structure. Firstly, the surfacelet transform is adopted to decompose the input infrared image sequences, which extracts multi-scale, anisotropic and directional detail features of the image. Then, according to difference between target and background clutter signal, a kernel function is introduced to suppress background details and enhance target information for suppression background. Finally, the target image is obtained by using an adaptive thresholding method. Several groups of experimental results demonstrate that the proposed method can segment the infrared target image effectively compared with several classical infrared small and weak target detection methods (SCR＞1.6), such as local remove means (LMR) and max median (MMed) methods.