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An Improved Algorithm for Restoration of the Image Motion Blur

机译:一种恢复图像运动模糊的改进算法

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This paper presents an improved algorithm for the image motion restoration by combining Wiener filtering with image histogram Equalization. We take the following steps to recover a uniform rectilinear motion image blur: Firstly, the parameter in the process of image degradation is determined on its spectrograph (Point Spread Function, PSF); Secondly, putting the PSF back into the Wiener filter's formula is to design the appropriate parameter y; Finally, the Wiener filtering method and the histogram equalization are integrated to form an improved Wiener filter algorithm for restoring uniform motion image blur. Experimental results show that visual comparison of images through experiments, improved the recovery algorithm to be significantly better than average effect of Wiener filtering method.
机译:通过结合维纳滤波和图像直方图均衡化,提出了一种改进的图像运动恢复算法。我们采取以下步骤来恢复均匀的直线运动图像模糊:首先,在图像退化过程中的参数由其光谱仪确定(点扩展函数,PSF);其次,将PSF放回到Wiener滤波器的公式中是设计适当的参数y。最后,将维纳滤波方法和直方图均衡化方法相结合,形成一种改进的维纳滤波算法,用于恢复均匀的运动图像模糊。实验结果表明,通过实验对图像进行视觉比较,改进了恢复算法,明显优于维纳滤波方法的平均效果。

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