Analysis on super-resolution blind restoration algorithm of defocus blurred image

Analyses are developed on super-resolution blind restoration algorithm of defocus blurred image by utilizing the simulation defocus blurred resolving power image and captured practice ones. Comparison is carried through between the super-resolution and other algorithms. Different effects also are compared when the radius of defocus blur changes. The result indicates that this algorithm can obtain good effect when the defocus blur is severely and the resolving power of the restored image is improved one times compared with the blurred case. The visible resolving power diamonds of the standard drone image are increased prominently. The visible resolving power diamonds can just be used to describe the improvement of the resolving power of the image. The proposed method is successfully applied into actual metric and received better results.