一种运动模糊参数估计算法

摘要

运动模糊图像恢复的目的是根据估计出的运动模糊参数尽可能还原清晰图像.运动模糊图像的恢复依赖于对运动模糊参数(运动方向φ和运动长度L)的估计.本文通过分析运动模糊图像的点扩展函教,将频域与空间域的方法相结合,提出了一种改进的运动模糊参数的估计算法.该算法首先采用频域识别算法,利用Radon变换对运动方向Φ 进行估计；其次,根据估计出的角度 Φ,对图像进行反向旋转,得到方向平行图像;最后,在空间域对平行图像采用自相关法估计运动长度.实验表明:该算法能在各种复杂情况下,准确地估计出运动模糊参数.%The purpose of the motion blurred image restoration is to recover the original images as clear as possible according to the estimated motion blur parameters. Restoration of motion blurred image is highly dependent on motion blur parameters estimation,such as motion length (L) and motion direction (Φ). After studying the nature of the degradation function and the point spread function (PSF).the paper presents an improved algorithm to estimate linear motion blur parameters. It originally uses frequency-domain identification method, where Radon transform is used to find motion direction in the frequency domain. After that,image compensation is used to get horizontal image according to the acquired motion direction. Finally,autocorrelation method is used to estimate the motion length in the spatial domain. The results show that this algorithm can accurately estimate the motion blur parameters for images in complex situations.