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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。
In the infrared air-to-air detection system, the intense motion blur of the target image due to the detector being in a state of motion makes it difficult to detect the infrared small target. In order to solve the problem of infrared small target detection under the condition of motion blur, it is proposed to introduce motion blur restoration technology and image enhancement technology into the infrared detection system. Firstly, the original image collected by the detector is filtered by Wiener filter, the motion blur is processed and the noise interference is suppressed, and then the gradient image is processed to sharpen the processed image to enhance the target edge. Experimental results and simulation results show that this method has obvious effect of motion blur restoration, and to a certain extent, it can reduce the noise and improve the target contrast, make the target more prominent in the background, and can significantly improve the target image quality. The introduction of the evaluation parameters of the peak signal to noise ratio and mean square error performance, this method can enhance the performance of the detection system.