Classifying Discriminative Features for Blur Detection | |
Pang, Yanwei1; Zhu, Hailong1; Li, Xinyu1,2; Li, Xuelong; Pang, YW | |
作者部门 | 光学影像学习与分析中心 |
2016-10-01 | |
发表期刊 | IEEE TRANSACTIONS ON CYBERNETICS |
ISSN | 2168-2267 |
卷号 | 46期号:10页码:2220-2227 |
产权排序 | 2 |
摘要 | Blur detection in a single image is challenging especially when the blur is spatially-varying. Developing discriminative blur features is an open problem. In this paper, we propose a new kernel-specific feature vector consisting of the information of a blur kernel and the information of an image patch. Specifically, the kernel specific-feature is composed of the multiplication of the variance of filtered kernel and the variance of filtered patch gradients. The feature origins from a blur-classification theorem and its discrimination can also be intuitively explained. To make the kernel-specific features useful for real applications, we build a pool of kernels consisting of motion-blur kernels, defocus-blur (out-of-focus) kernels, and their combinations. By extracting such features followed by the classifiers, the proposed algorithm outperforms the state-of-the-art blur detection method. Experimental results on public databases demonstrate the effectiveness of the proposed method. |
文章类型 | Article |
关键词 | Blur Detection Classifier Feature Extraction Motion Blur Support Vector Machine (Svm) |
学科领域 | Computer Science, Artificial Intelligence |
WOS标题词 | Science & Technology ; Technology |
DOI | 10.1109/TCYB.2015.2472478 |
收录类别 | SCI ; EI |
关键词[WOS] | OBJECT DETECTION ; SINGLE IMAGE ; RECOGNITION ; SURVEILLANCE ; SPACE ; SVM |
语种 | 英语 |
WOS研究方向 | Computer Science |
项目资助者 | National Basic Research Program of China (973 Program)(2012CB316400 ; National Natural Science Foundation of China(61172121 ; Key Research Program of the Chinese Academy of Sciences(KGZD-EW-T03) ; 2014CB340400) ; 61125106 ; 61271412 ; 61472274 ; 61222109) |
WOS类目 | Computer Science, Artificial Intelligence ; Computer Science, Cybernetics |
WOS记录号 | WOS:000384265600012 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.opt.ac.cn/handle/181661/28363 |
专题 | 光谱成像技术研究室 |
通讯作者 | Pang, YW |
作者单位 | 1.Tianjin Univ, Sch Elect Informat Engn, Tianjin 300072, Peoples R China 2.Chinese Acad Sci, Xian Inst Opt & Precis Mech, State Key Lab Transient Opt & Photon, Ctr Opt Imagery Anal & Learning, Xian 710119, Peoples R China |
推荐引用方式 GB/T 7714 | Pang, Yanwei,Zhu, Hailong,Li, Xinyu,et al. Classifying Discriminative Features for Blur Detection[J]. IEEE TRANSACTIONS ON CYBERNETICS,2016,46(10):2220-2227. |
APA | Pang, Yanwei,Zhu, Hailong,Li, Xinyu,Li, Xuelong,&Pang, YW.(2016).Classifying Discriminative Features for Blur Detection.IEEE TRANSACTIONS ON CYBERNETICS,46(10),2220-2227. |
MLA | Pang, Yanwei,et al."Classifying Discriminative Features for Blur Detection".IEEE TRANSACTIONS ON CYBERNETICS 46.10(2016):2220-2227. |
条目包含的文件 | ||||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
Classifying Discrimi(741KB) | 期刊论文 | 作者接受稿 | 限制开放 | CC BY-NC-SA | 请求全文 |
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