Restoration of degraded image from partially-known mixed blur
Chen, Xi; Wang, Yangang; Peng, Silong
发表期刊Jisuanji Fuzhu Sheji Yu Tuxingxue Xuebao/Journal of Computer-Aided Design and Computer Graphics
2010
卷号22期号:2页码:272-278
摘要Due to the complicacy of environment,digital images may be degraded by various blurs.An image restoration method for the degradation model is proposed in this paper.Unlike traditional approaches,we assume that the blur kernel is the mixture of defocus and motion blurs.Given the defocus blur,the statistical characteristic of the motion blur is exploited by using generalized Laplacian model,and then the mixed blur is identified using the expectation maximization(EM) algorithm.Finally the degraded image can be restored based on the estimated blur.Experimental results demonstrate that the proposed method could identify the blur effectively,and improve visual quality of the degraded images
关键词Image Restoration Motion Blur Defocus Blur Em Algorithm
收录类别EI
WOS记录号WOS:20101512841001
引用统计
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/2892
专题智能制造技术与系统研究中心_多维数据分析(彭思龙)-技术团队
通讯作者Chen, Xi
推荐引用方式
GB/T 7714
Chen, Xi,Wang, Yangang,Peng, Silong. Restoration of degraded image from partially-known mixed blur[J]. Jisuanji Fuzhu Sheji Yu Tuxingxue Xuebao/Journal of Computer-Aided Design and Computer Graphics,2010,22(2):272-278.
APA Chen, Xi,Wang, Yangang,&Peng, Silong.(2010).Restoration of degraded image from partially-known mixed blur.Jisuanji Fuzhu Sheji Yu Tuxingxue Xuebao/Journal of Computer-Aided Design and Computer Graphics,22(2),272-278.
MLA Chen, Xi,et al."Restoration of degraded image from partially-known mixed blur".Jisuanji Fuzhu Sheji Yu Tuxingxue Xuebao/Journal of Computer-Aided Design and Computer Graphics 22.2(2010):272-278.
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