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Accurate blind deblurring using salientpatch-based prior for large-size images

文献类型：期刊论文

作者Ma, Chengcheng1,2,3; Zhang, Jiguang4; Xu, Shibiao3; Meng, Weiliang3; Xi, Runping1; Kumar, G. Hemantha4; Zhang, Xiaopeng3
刊名MULTIMEDIA TOOLS AND APPLICATIONS
出版日期2018-11-01
卷号77期号:21页码:28077-28100
关键词Deblurring SalientPatch Kernel estimation Segmentation Large-size
ISSN号1380-7501
DOI10.1007/s11042-018-6009-2
通讯作者Xu, Shibiao(shibiao.xu@ia.ac.cn) ; Zhang, Xiaopeng(xiaopeng.zhang@ia.ac.cn)
英文摘要The full-image based kernel estimation strategy is usually susceptible by the smooth and fine-scale background regions impacting and it is time-consuming for large-size image deblurring. Since not all the pixels in the blurred image are informative and it is frequent to restore human-interested objects in the foreground rather than background, we propose a novel concept "SalientPatch" to denote informative regions for better blur kernel estimation without user guidance by computing three cues (objectness probability, structure richness and local contrast). Although these cues are not new, it is innovative to integrate and complement each other in motion blur restoration. Experiments demonstrate that our SalientPatch-based deblurring algorithm can significantly speed up the kernel estimation and guarantee high-quality recovery for large-size blurry images as well.
WOS关键词SALIENCY DETECTION ; DECONVOLUTION
资助项目National Natural Science Foundation of China[61620106003] ; National Natural Science Foundation of China[61671451] ; National Natural Science Foundation of China[61572405] ; National Natural Science Foundation of China[61502490] ; National Natural Science Foundation of China[61571439] ; National Natural Science Foundation of China[61771026] ; Open Projects Program of National Laboratory of Pattern Recognition[201600038] ; Independent Research Project of National Laboratory of Pattern Recognition[Z-2018005] ; Independent Research Project of National Laboratory of Pattern Recognition[6140001010207]
WOS研究方向Computer Science ; Engineering
语种英语
WOS记录号WOS:000446601500015
出版者SPRINGER
资助机构National Natural Science Foundation of China ; Open Projects Program of National Laboratory of Pattern Recognition ; Independent Research Project of National Laboratory of Pattern Recognition
源URL[http://ir.ia.ac.cn/handle/173211/23040]  
专题模式识别国家重点实验室_三维可视计算
多模态人工智能系统全国重点实验室
通讯作者Xu, Shibiao; Zhang, Xiaopeng
作者单位1.Northwestern Polytech Univ, Sch Comp Sci, Xian, Shaanxi, Peoples R China
2.Univ Chinese Acad Sci, Beijing, Peoples R China
3.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing, Peoples R China
4.Univ Mysore, Dept Comp Sci, Mysore, Karnataka, India
推荐引用方式
GB/T 7714		 Ma, Chengcheng,Zhang, Jiguang,Xu, Shibiao,et al. Accurate blind deblurring using salientpatch-based prior for large-size images[J]. MULTIMEDIA TOOLS AND APPLICATIONS,2018,77(21):28077-28100.
APA Ma, Chengcheng.,Zhang, Jiguang.,Xu, Shibiao.,Meng, Weiliang.,Xi, Runping.,...&Zhang, Xiaopeng.(2018).Accurate blind deblurring using salientpatch-based prior for large-size images.MULTIMEDIA TOOLS AND APPLICATIONS,77(21),28077-28100.
MLA Ma, Chengcheng,et al."Accurate blind deblurring using salientpatch-based prior for large-size images".MULTIMEDIA TOOLS AND APPLICATIONS 77.21(2018):28077-28100.

入库方式： OAI收割

来源：自动化研究所

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