基于多分辨率双边滤波的红外场景杂波抑制

背景杂波是影响红外搜索跟踪系统探测性能的主要因素,针对这一问题,根据红外场景中目标和背景特性,提出了一种基于多分辨率双边滤波的红外场景杂波抑制新方法.首先采用非下采样轮廓波对红外场景图像进行多尺度、多方向分解,提取红外原始场景图像在不同尺度和方向上的细节特征,然后,根据目标和背景信号子带分布特性之差异,通过应用双边滤波调整分解后的各子带系数,最后重构各子带就可将红外场景中目标信号和背景杂波分离,可有效地将背景杂波剔除掉.将本文提出的方法应用于实际的红外场景,实验结果显示,与经典的二维最小均方误差方法相比较,该方法具有更好的杂波抑制能力.

Multiple Resolution Bilateral Filter for Infrared Clutter Suppression

Complex background is a major factor in the performance of the infrared search and tracking system. In this paper, an infrared clutter suppression method based on multi-resolution bilateral filter is proposed to solve the problem. Firstly, nonsubsampled contourlet transfrom is adopted to decompose the input infrared scene images, which extracts multi-scale and directional detail features of the image. Then, according to the difference between target and background clutter signal, bilateral filter is introduced to suppress background details and enhance target information for suppression background. Several groups of experimental results demonstrate that the proposed method can detect the infrared target image effectively, compared with classical infrared scene background suppression methods, such as two-dimensional least means square.