当摄像机随载体作高速运动时,由于成像曝光时间、摄像机与目标间的纵向相对运动等因素使目标图像产生从中心到边缘的辐射状模糊,使系统有效视场减少,影响对目标的探测、识别和跟踪. 本文根据运动成像关系和光电探测器的信号积分机理,研究了摄像平台高速运动条件下,图像辐射状模糊的图像退化模型,对几种特殊图像的退化进行了分析;并针对实际离散成像过程,建立了图像退化模型,分析了影响辐射状退化的因素;提出了一种辐射状模糊图像的递推复原处理算法;计算机方法模拟的辐射状退化图像与实际图像一致,复原算法可有效地减轻相向运动所造成的图像辐射状模糊.

By using orthogonal discrete wavelet transform (ODWT) and generalized cross validation(GCV),and combining with Luck-Richardson algorithm based on Poisson-Markov model(MPML),several new super-resolution image restoration algorithm are proposed. According to simulation experiments for practical images, all the proposed algorithm could retain image details better than MPML, and be more suitable to low signal-to-noise ratio (SNR)images. The single operation wavelet MPML(SW-MPML) algorithm and MPML algorithm based on single operation wavelet transform(MPML-SW) avoid the iterative operation of self-adaptive parameter in MPML particularly, and improve operating speed and precision. They are instantancous to super-resolution image restoration process and have extensive application foreground.