Implementation of an Image Restoration with Block Iteration Method for Spatially Variant Blur Models

摘要

In image restoration, for spatially variant blur, block-wise iterative method have been proposed. Block-wise iterative method is based on the assumption that the blur approximates to spatially invariant in a small region of the blurred images. These approaches show approximation errors and block artifacts. In this work, we suggest to use block iterative method without approximates to spatially invariant blur considering arbitrary shaped blocks related to shapes of blur models. We can reduce the approximation errors and block artifacts with high speed of iteration convergence. This proposed image restoration method can reduce the computational efforts and is useful to embedded system such as mobile phone and embedded vision system.