旋转运动空间可变模糊图像的代数复原

Algebraic restoration for space variant blurring image in rotation motion

提出了一种基于最小二乘和空间相关约束沿模糊路径卷积的代数复原方法。为了有效和快速地恢复角点处的图像信息,采用了最优估值理论。在微机上对算法进行了验证,实验结果表明,算法能有效地去除旋转运动的空间可变模糊。

The restoration of blurred image caused by rotation motion is studied. An algebraic restoration approach of deconvolving along blur path based on the least squares and space correlation constrain is proposed. Employing the optimal estimation can restore the pixels information in the corner effectively and rapidly. The algorithm is verified through the microcomputer and experimental results show that the proposed algorithm can remove space variant blur of rotation motion effectively. 