Hyper-Laplacian Non-blind Deblurring Model Based on Regional Division

Non-blind image deblurring algorithms based on the regularization can cause ringing artifacts. Using hyper-Laplacian priors, Krishnan D has proposed a non-blind deblurring model which can reduce ringing artifacts well, but it damages the image edge details. To solve this problem, a parameter adaptive non-blind deblurring model based on regional division is proposed in this paper. It can effectively overcome the ringing artifacts and maintain the image edge details.