Automatic ringing artifact detection in restoring blurred face images

Restoring blurred images by blind deconvolution has been extensively studied for a long time. But a general solution for deblurring any out-of-focus images is still a big challenge. In this paper, we present a new face image restoration approach based on Wiener filter and pattern recognition techniques. By trying several radii of circle of confusion (COC) used in Wiener filter and applying local contrast enhancement (LCE) to further enhance the textures of deblurred images, the proposed system can automatically determine the best deconvolution radius of COC such that the deblurred image has less ringing artifacts.