运动模糊图像经典复原算法

Classical Restoration Algorithms of Motion Blurred Images

根据运动模糊图像的特点,介绍了运动模糊图像退化模型.在该模型的基础上分析了模糊参数在已知和未知两种情况下模糊图像的PSF(point spread function点扩散函数)的确定方法,并对其进行实例验证说明.基于该退化模型和模糊参数确定方法详细地对现有的各非盲复原和盲复原算法进行了介绍与分析.为了更直观地观察各复原算法的复原效果,对各算法进行了仿真实验并比较了它们的优缺点和总结了其应用范围,指出了今后图像处理领域的发展方向,对现实的图像技术运用具有指导意义.

According to the characteristics of motion blurred images,a motion blurred image degradation model is introduced.Based on the model,the method of determining the PSF（point spread function）of a blurred image under known and unknown conditions is analyzed and verified by examples.Based on this degradation model and the fuzzy parameter determination method,the existing non-blind recovery and blind recovery algorithms are introduced and analyzed in detail.In order to observe the restoration effect of each restoration algorithm more intuitively,the algorithms are simulated and their advantages and disadvantages are compared.The application scope of the algorithms is summarized,and their future development direction in the field of image processing is illustrated.Which is instructive for practical application of image technology.