中文摘要：

为了有效地处理低信噪比复杂背景下的小目标红外图像,提出一种基于新的加权局部图像熵的小目标红外图像处理方法.该方法利用小目标红外图像的内在特点,提出多尺度灰度差异算子和局部图像熵算子,然后通过点积运算获得加权局部图像熵,从而有效地抑制红外图像背景和噪声、增强目标,最终大幅度地提高图像的信噪比.仿真实验结果表明：所提方法能高效地处理复杂背景下小目标红外图像,具有一定的理论和应用价值.

英文摘要：

For the effective processing small-target infrared images against complex background and low SNR,aprocessing method of small-target infrared image based on the novel weighted-local image entropy was presented in this paper.The multi-scale gray difference operator and the local image entropy operator were proposed by using the inherent characteristics of small-target infrared image.And then the weighted-local entropy was obtained through the dot product operation.In this way,the background and noise were effectively suppressed and then the target was enhanced.As shown in experimental results,small-target infrared images under complex background are efficiently processed by using the proposed algorithm.