一种结合射影运动模糊模型的Richardson-Lucy算法

A Richardson-Lucy Algorithm Based on Projective Motion Blur Model

现有的去运动模糊算法都是假设退化图像的模糊核是一个空间不变的点扩展函数PSF,但该模糊核却并不能准确描述整幅图像的退化。因此,本文针对相机抖动所造成的图像运动模糊而引入一个新的运动模糊模型———射影运动模糊模型,并对传统理查德森-露西算法进行扩展,得到基于该模型的射影运动理查德森-露西(PMRL)算法。试验证明,该模型和算法是有效的,可以显著提高复原图像的视觉效果。

A common assumption in existing deblurring algorithms is that the motion PSF is spatially invariant,but the spatially invariant PSF cannot accurately describe the whole image＇s degradation.Therefore,a new motion blur model that is able to describe spatially varying motion blur caused by a camera undergoing ego motion was introduced,and the conventional Richardson-Lucy（RL） deblurring algorithm was extended by using the blur model.This modified RL algorithm was refer to as the Projective Motion Richardson-Lucy（PMRL） algorithm.The experiments demonstrated that this model and algorithm were effective and it could performance well in image restoration.