Identification of blur image caused by rotational motion

Abstract

This thesis aims to solve space-variant problem (rotation blur case). Coordinate transform (CTR) method is used to transform the space-variant problem to a space-invariant one. An interpolation algorithm of improving the gray-level is also illustrated. To make the CTR effective in general case, steerable filter method, which is used usually in edge detection, is applied to locate the rotation center in a single rotation blur image. Other method, such as the window effect, zero-padding , are also used to improve the result. In brief, we provide a general approach to solve common rotation blur problem in this thesis.