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In this paper, we propose an image restoration framework for restoring an image degraded by unknown motion blur. Our approach takes advantage of inherent bi-level regions of an image to estimate a blur kernel. The framework contains three parts: bi-level region searching, initial blur kernel estimation and iterative maximum a posteriori (MAP) image(More)
In this paper, we propose a new approach for image deblurring from two images, non-blurred and blurred, in different poses by exploiting the co-existing planar object in both views. We focus on the problem of aligning the corresponding image patches, which are the co-existing planar object, in both images and propose an iterative two-stage algorithm for(More)
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