基于动态虚拟相机的旋转棱镜扫描成像系统运动模糊消除技术研究  

Motion Deblurring Technology Research for Risley Prism Scanning Imaging System Based on Dynamic Virtual Camera

作　　者：李新东 李安虎[1] 周正旸 刘兴盛 邓兆军 

机构地区：[1]同济大学机械与能源工程学院,上海

出　　处：《建模与仿真》2023年第3期2740-2751,共12页Modeling and Simulation

摘　　要：旋转棱镜–相机成像系统在动态目标识别和跟踪等新兴领域展现了很好的应用前景。然而,其性能受到运动模糊问题的限制。为了解决旋转棱镜–相机成像系统中的运动模糊问题,本文基于运动成像分析方法,建立了动态虚拟相机的运动模糊数学模型,以表征系统的实时成像模糊机制。通过分析动态虚拟相机一阶运动表达式,提出了动态虚拟相机成像的运动模糊核估计方法和运动模糊消除算法。基于所提出的方法,可以获得扫描图像的运动模糊核,然后结合维纳滤波来消除模糊。实验结果表明,所提出的运动模糊消除算法能有效地消除运动模糊,提高实时扫描成像系统的成像质量。The Rotating Prism-Camera Imaging System (RPCIS) demonstrates promising application prospects in the emerging field of dynamic target tracking and recognition. However, its performance is lim-ited by motion blur issues. To solve the motion blur problem in the rotating prism-camera imaging system, developed by motion imaging analysis methods, a motion blurring mathematical model of the dynamic virtual camera (DVC) is established to characterize the real-time imaging blurring mechanism. By analyzing the kinematics of DVC based on first-order motion expression of rotating double-prism scanners, a motion blur kernel estimation method and the algorithm for motion deblurring are proposed. Based on the proposed method, the motion blur kernel of the scanning image can be obtained, and then the wiener filtering is combined to eliminate the blur. Experi-mental results demonstrate that the proposed motion deblurring method effectively eliminates motion blur and improves the image quality of the real-time scanning imaging system.

关 键 词：运动模糊 维纳滤波 扫描图像 扫描成像系统 旋转棱镜 模糊数学模型 消除模糊 模糊机制 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]