Image Restoration Method for Non-uniform Blurred Images

Blind image deblurring, which restores a clear latent image using a single blurred image, is an ill-posed problem to fmd two unknowns: the latent image and the point spread function (PSF). In this paper, we propose a novel PSF estimation method utilizing total variation regularization, a shock filter, and the gradient degree of reliability for non-uniform blurred images. The experimental results demonstrate that our proposed method delivers the best performance of the currently available methods with respect to deblurring performance. Furthermore, the processing time for our proposed method is very short, and clear images are obtained for actual (real-life) pictures.