A improved rapid restoration algorithm of motion blurred coal dust image

In order to rapid restoration of motion blurred coal dust image, proposes a improved motion blur parameter estimation algorithm. Motion angle is estimated based on threshold filtering of image spectrum then Radon transform. Motion length is estimated based on median filtering, block averaging and autocorrelation function method. Restoration image uses Z transform. Experiment compare results show that proposed method can restorate motion blurred coal dust image accurate and low cost time.