基于图像融合的红外弱小目标增强方法研究*

提出了一种使用图像融合进行红外弱小目标增强的算法，该算法采用两次融合结构。在一次融合中，使用简单图像融合方法将连续多帧图像进行融合以减少数据量并抑制噪声；在二次融合中，将一次融合的结果进行多尺度分解并对分解所得低频和各高频部分分别进行融合。对比了二次融合中使用小波变换、轮廓波变换、非下采样轮廓波变换等多尺度分解方法的融合效果。仿真实验结果表明了该方法的正确性，实现了对红外弱小目标的有效增强。

Study of infrared weak small target enhancement methods based on image fusion

This paper presented an infrared weak small target enhancement method based on image fusion.The structure of this method was two times fusion. In first fusion stage,used the simple image fusion method to fuse the continuous frames. In this stage reduced the computational quantity and suppressed the random noise.In second fusion stage,used the multiscale decomposition method to decompose the result from first fusion stage. Fused the low frequency part and high frequency parts from decomposition according to different fusion rules.Contrasted the fusion effect with different multiscale decomposition methods such as wavelet transform, contourlet transform and nonsubsampled contourlet transform.The experimental results show that the method is correct and can enhance infrared weak small targets effectively.