摘要
红外成像制导具有灵敏度高、空间分辨率高、抗电磁干扰能力强等优点,目前已被各国广泛应用。但是在成像制导过程中,由于弹目之间的相对快速运动容易造成成像运动模糊,使得目标相对于成像系统产生横向运动和目标尺寸的相对变化,给后续目标识别与跟踪造成影响。针对红外成像制导拍摄到的图像,在运动参数未知的情况下,采用点扩展函数预估计方法,分别利用Roberts边缘检测算子和自相关的方法确定出点扩散函数的运动方向和尺度参数。在此基础上,采用有约束的最小二乘滤波对图像进行恢复,仿真实验结果表明,文中算法可较好的对运动模糊图像进行恢复,取得不错的效果,为红外成像制导目标识别与跟踪奠定基础。
Infrared imaging guidance has been widely used in various countries due to the high sensitivity, spa-tial resolution and immunity to electromagnetic interference and so on. However, in the process of imaging guid-ance, image motion blur is easy to be caused for the relatively rapid movement between the projectile and target,which makes lateral movement and target size relatively change between the target and the imaging system andtakes impact to the subsequent target recognition and tracking process. According to the images captured by imag-ing guidance system, at the condition of unknown motion parameters, point spread function（PSF） estimation algo-rithm is adopted. The motion direction and scale parameter of the function are determined by Roberts edge detectionoperator and auto-correlation algorithm. Based on this, the image is restored by constrained least squares filter algo-rithm. Simulation results show that the algorithm can better restore the motion blurred image and lay the foundationfor infrared imaging guidance target recognition and tracking.
出处
《光电技术应用》
2016年第4期15-17,21,共4页
Electro-Optic Technology Application
关键词
红外成像
运动模糊
图像恢复
点扩散函数
有约束最小二乘滤波
infrared imaging
motion blur
image restoration
point spread function（PSF）
constrained least-squares filtering
