计算机应用与软件2016，Vol.33Issue(6)：207-211,5.DOI:10.3969/j.issn.1000-386x.2016.06.050
基于双L0稀疏先验的图像运动去模糊
IMAGE MOTION DEBLURRING BASED ON DOUBLE L0 SPARSE PRIORI
摘要
Abstract
Existing image motion deblurring methods cannot obtain ideal results when dealing with the complex motion blurs.One of the reasons is that they generally only consider the sparsity of image gradients but ignore the sparsity of blur kernel.To overcome this limitation, this paper presents a new motion deblurring method with double L0 regular constraints,which applies the L0 regular constraints to both the natural image gradients and blur kernel,by combining the semi-definite quadratic splitting minimisation method it carries out the solution optimisation and realises the blur kernel estimation under the conditions of natural blurred image gradients and average sparsity of blur kernel. It further adopts a hyper-Laplacian term with L0.5 regular constraint to restore the final deblurred image.Experiment finds that the proposed method can well remove the rather complex motion blur of single image and better overcome the estimated noise and errors in blur kernel,and consequently obtains a more ideal motion deblurring effect than existing methods.关键词
L0 正则约束/运动去模糊/半正定二次分裂Key words
L0 regular constraint/Motion deblurring/Semi-definite quadratic splitting分类
信息技术与安全科学引用本文复制引用
陶宗勤,方贤勇,谈业静,陈尚文..基于双L0稀疏先验的图像运动去模糊[J].计算机应用与软件,2016,33(6):207-211,5.基金项目
安徽省自然科学基金项目（1408085MF 113，1308085QF100）；南京大学计算机软件新技术国家重点实验室开放课题（KFKT2013B12）。 （）
