中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Blind motion deblurring using optical flow

文献类型:期刊论文

作者Yuquan Xu; Xiyuan Hu; Silong Peng,; Silong Peng
刊名Optik
出版日期2014
卷号138期号:1页码:72-83 (SCI)
关键词Motion Blur Optical Flow Spatially Variant Blur Image Deblurring
英文摘要In recent years, a lot of motion deblurring methods have been proposed, most of which divide the motion blur problem into two parts: camera shake and object motion, and just deal with only one side of the problem. As a result, in this paper we focus on seeking a effective model to handle these two kinds of motion blur simultaneously. An optical flow based model is then proposed. In particular, the blurred image can be formulated as an integration of some clear intermediate images after optical based transformed. Meanwhile an effective algorithm based on this new model is introduced to deblur different types of blurry images. In this work, we not only use the optical flow to represent the blur process but also derive the optical flow estimation algorithm to help estimate the non-uniform PSF for each pixel. In addition, we show that by incorporating different kinds of constraints our method can get more robust and stable results. The experiments on both synthesized and real images show that our algorithm can effectively recover the latent images and get comparable results with some state of the art algorithms.
源URL[http://ir.ia.ac.cn/handle/173211/12906]  
专题自动化研究所_智能制造技术与系统研究中心_多维数据分析团队
通讯作者Silong Peng
推荐引用方式
GB/T 7714
Yuquan Xu,Xiyuan Hu,Silong Peng,,et al. Blind motion deblurring using optical flow[J]. Optik,2014,138(1):72-83 (SCI).
APA Yuquan Xu,Xiyuan Hu,Silong Peng,,&Silong Peng.(2014).Blind motion deblurring using optical flow.Optik,138(1),72-83 (SCI).
MLA Yuquan Xu,et al."Blind motion deblurring using optical flow".Optik 138.1(2014):72-83 (SCI).

入库方式: OAI收割

来源:自动化研究所

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