动态模糊图像的数学复原建模与分析

Mathematical recovery modeling and analysis of dynamic blurred image

主要研究将动态模糊图尽可能变得更加清晰,并对还原后的图像质量进行分析。因为缺少图像的先验知识,所以对退化过程如模糊和噪声建立滤波和逆滤波数学复原模型,并确定点扩算函数,求得点扩散函数的两个重要参数(模糊方向θ和模糊尺度L),并建立复原评价标准。

This paper aims to make dynamic blurred image more clear as far as possible and evaluate the quality of the restored image. Due to the lack of a priori knowledge of the image, by analyzing the degradation processes such as blurred source and noise, the filtering and inverse filtering models are established and the point spread functions are derived.Then two important parameters in point spread functions (blurred direction and blurred scale) can be estimated. Meanwhile, the quality about the restored image will be evaluated.