基于暗通道与低秩先验的运动模糊图像盲复原  

Blind Restoration of Motion-Blurred Image Based on Dark Channel and Low-Rank Prior

作　　者：岳有军 云赛 王红君 赵辉 YUE You-jun;YUN Sai;WANG Hong-jun;ZHAO Hui(School of Electrical and Electronic Engineering Tianjin University of Technology, Tianjin 300384, China;Tianjin Agricultural University, Tianjin 300384, China)

机构地区：[1]天津理工大学电气电子工程学院,天津300384 [2]天津农学院,天津300384

出　　处：《电光与控制》2019年第11期95-98,110,共5页Electronics Optics & Control

基　　金：天津市科技计划项目(17ZXYENC00080,17YFCZZC00330);天津市科技支撑计划重点项目(18YFZCNC01120)

摘　　要：摘`要:为了将运动模糊图像恢复成清晰图像,提出了一种基于暗通道与低秩先验的图像盲去模糊方法。首先,利用图像暗通道的稀疏性进行中间复原图像估计,同时引入带权值的低秩先验约束抑制中间复原图像中的噪声,提高模糊核估计的准确性;然后,通过交替迭代的优化策略得到准确的模糊核;最后,用Hyper-Laplacian先验方法得到清晰图像。实验结果表明,提出的方法能有效抑制噪声和振铃效应,保留图像细节,对运动模糊图像有较好的复原效果。In order to restore a motion blurred image to a clear image,a blind image deblurring method based on dark channel and low-rank priors was proposed.Firstly,the sparsity of dark channel was used to estimate the intermediate restored image,and weighted low-rank prior constraint was introduced to suppress the noise in the intermediate restored image,so as to improve the accuracy of the fuzzy kernel estimation.Then,the accurate blurred kernel was obtained by the optimization strategy of alternating iterations.Finally,the Hyper-Laplacian prior method was used to get the clear image.The experimental result shows that the proposed method can effectively suppress noise and ringing effect,retain image details,and has a good restoration effect for a motion blurred image.

关 键 词：图像盲去模糊 暗通道 低秩先验 模糊核估计 振铃效应 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]