光学学报, 2017, 37 (6): 0610001, 网络出版: 2017-06-08   

基于运动模糊复原技术的红外弱小目标检测方法 下载: 608次

A Method for Small Infrared Targets Detection Based on the Technology of Motion Blur Recovery
作者单位
电子工程学院脉冲功率技术国家重点实验室, 安徽 合肥 230037
摘要
在红外对空探测系统中, 由于探测器时刻处于运动状态使得目标图像产生剧烈的运动模糊, 给红外小目标检测造成困难。为了解决运动模糊条件下红外小目标检测的问题, 提出将运动模糊复原技术和图像增强技术引入红外探测系统。先将探测器采集到的原始图像经过维纳滤波, 对运动模糊进行处理并抑制噪声干扰, 再利用梯度法对处理后的图像做锐化处理, 增强目标边缘。实验验证和仿真分析结果都表明, 该方法运动模糊复原效果明显, 并在一定程度上抑制了噪声, 提高了目标对比度, 使目标在背景中更加凸显, 并且能够显著提高目标图像质量。引入的评价参数峰值信噪比和均方差表现良好, 该方法可以增强探测系统的使用性能。
Abstract
The motion of the infrared detection system always has a significant effect on the imaging process, resulting in the motion blur of the target image, which brings evident uncertainties and difficulties to the infrared small target detection. In order to efficiently detect the infrared small targets whose images have been blurred by the motion of them, the technique of motion blur restoration and image enhancement are introduced into the infrared detection system. The method firstly applies Wiener filter in the processing of original images so as to restrain the noise and reduce the motion blur, then makes the use of gradient method to sharpen and enhance the target edges of processed images. The experiment results and simulation analyses show that such method can obviously reduce motion blur, enhance the contrast of targets, and restrain noise to a certain extent, which improving images′ quality and making infrared targets prominent in the background. Finally, the evaluation parameters peak signal to noise ratio and mean square error perform well. The proposed method can enhance the effect of detective system.

李思俭, 樊祥, 朱斌, 程正东. 基于运动模糊复原技术的红外弱小目标检测方法[J]. 光学学报, 2017, 37(6): 0610001. Li Sijian, Fan Xiang, Zhu Bin, Cheng Zhengdong. A Method for Small Infrared Targets Detection Based on the Technology of Motion Blur Recovery[J]. Acta Optica Sinica, 2017, 37(6): 0610001.

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