中文摘要：

为解决在目标探测过程中多波段图像的复原和清晰化问题，提出了一种实用新颖的可适用于弹／机／星栽目标探测多波段图像的统一复原校正方法。该方法不需要知道退化方式和退化模型等先验知识，仅利用光谱图像的有效信息，构造关于点扩展函数的非负最小二乘空间平滑性约束的极小化准则函数，通过优化计算方法求解点扩展函数，利用非盲目图像复原方法得到清晰图像。输入大量实际图片，对方法进行了测试验证。实验结果表明：该方法有效地克服了目前图像复原方法不具有通用性、对仿真图像复原效果好对实际图像复原效果差、耗时长等缺点，对红外、可见光、毫米波等多波段退化图像均能有效恢复，不需先验知识，输入一帧模糊图像即可得到高清晰图像，为目标探测系统提供了一种有效图像复原方法。

英文摘要：

To solve the problem of restoration and clearness for multi-wave band images in object detection, a novel versatile restoration method was proposed, which was applicable for the restoration of multi-wave band images in object detection captured by imaging devices installed on missile, aerocraft or satellite. Some prior knolwedge was not needed in use of the proposed method about modes and models of degraded images. In this method, only some information of images was used, the minimization criterion function was constructed in regard to point spread function constrained by non-negative least square spatial smoothness, the optimization method was used to solve for the PSF, and the degraded images were restorated by non-blind image restoration method. The proposed method was verified by inputting a number of real images. The experimetal results show that the proposed method overcome some disadvantages of the exist image restoration methods such as non-versatility, good result to synthesized images, poor result to real images, time-consuming and so on. The proposed method can recover infrared, visible and millimeter-wave multi-wave band images without knowing the prior knolowdge. When inputing an image, the system output a clear image quickly. The proposed method was effective for the restoration of multi-wave band images in object detection system.