Registration and Blur Estimation Methods for Multiple Differently Focused Images

In t,his paper, we propose a registration method between multiple differently focused images using the hierarchical block matching technique in which displacement, scale and rotation are taken into account. Local deformation due to lens distortion is further corrected by local matching. We also propose an efficient estimation method of blur parameters of defocused regions in these focused images. Simulation results showed that the proposed methods achieve high accuracy. In experiments using real images captured by hand-held camera, an all focused image with good quality was able to be automatically generated using the corrected images and the estimated parameters .