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

作者：Zhimin Li, Yan Zheng, Wenfeng Jing, Ren-Sheng Zhao, Kaili Jing · 年份：2015 · DOI：10.1109/icnisc.2015.151 · 被引用次数：4 · 研究领域：Advanced Image Processing Techniques、Image and Signal Denoising Methods、Image Processing Techniques and Applications

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.