数据采集与处理2017，Vol.32Issue(2)：293-299,7.DOI:10.16337/j.1004-9037.2017.02.009
联合优化PSF估计与可逆性编码的去运动模糊
Motion Deblurring Based on Jointly-Optimized Codes of PSF Estimation and Invertibility
摘要
Abstract
The performance of images captured by traditional camera for motion deblurring is unstable.To tackle the problem,the principle and coded strategy of coded exposure camera are studied,and a novel point spread function (PSF) estimation and motion deblurring approach based on camera-optimized codes and efficient marginal estimation is proposed.Firstly,the alpha matting deblurring approach for traditional camera is investigated,which is extended to coded exposure camera.Then the coded factors influencing deblurring performance are analyzed to find the optimized code fitting for PSF estimation and invertibility.Finally,a PSF estimation approach based on efficient margin and maximum posteriori is modified,and images motion deblurring is accomplished with spatial prior of efficient marginal gradient in a coarse-to-fine way.Experimental results based on simulated and real images show that the proposed algorithm can effectively estimate PSF,and the performance for motion deblurring is superior to that of other existing approaches.关键词
去运动模糊/点扩展函数估计/alpha蒙板/最大后验分布Key words
motion deblurring/point spread function estimation/alpha matting/maximum a posteriori分类
信息技术与安全科学引用本文复制引用
李俊山,杨亚威,王蕊,胡双演,隋中山,任鑫博..联合优化PSF估计与可逆性编码的去运动模糊[J].数据采集与处理,2017,32(2):293-299,7.基金项目
国家自然科学基金(61175120)资助项目. （61175120）
