Detection and restoration of multi-directional motion blurred objects

Abstract

In this paper, an object blur detection and deblurring technique is proposed to restore multi-directional motion blurred objects in a single image. We have proposed local blur angle detection method based on Radon transform (RT) and Laplacian of Gaussian (LoG). While capturing the images, motion blur occurs mainly due to either movement of the objects or movement of the camera. Here, we have focused to restore the objects which has been blurred by motion of the objects. The estimation of likely blur direction is calculated in the blurred image using RT and gradient operators. To detect blur angle locally at each pixel, the new local blur angle estimator using RT and LoG has been developed. Numerical experiments have been carried out for the proposed method, and the results are compared with the state-of-the-art methods.