Institutional Repository of Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
Accurate blind deblurring using salientpatch-based prior for large-size images | |
Ma, Chengcheng1,2,3; Zhang, Jiguang4; Xu, Shibiao3; Meng, Weiliang3; Xi, Runping1; Kumar, G. Hemantha4; Zhang, Xiaopeng3 | |
发表期刊 | MULTIMEDIA TOOLS AND APPLICATIONS |
ISSN | 1380-7501 |
2018-11-01 | |
卷号 | 77期号:21页码:28077-28100 |
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. |
关键词 | Deblurring SalientPatch Kernel estimation Segmentation Large-size |
DOI | 10.1007/s11042-018-6009-2 |
关键词[WOS] | SALIENCY DETECTION ; DECONVOLUTION |
收录类别 | SCI |
语种 | 英语 |
资助项目 | Independent Research Project of National Laboratory of Pattern Recognition[6140001010207] ; Independent Research Project of National Laboratory of Pattern Recognition[Z-2018005] ; Open Projects Program of National Laboratory of Pattern Recognition[201600038] ; National Natural Science Foundation of China[61771026] ; National Natural Science Foundation of China[61571439] ; National Natural Science Foundation of China[61502490] ; National Natural Science Foundation of China[61572405] ; National Natural Science Foundation of China[61671451] ; National Natural Science Foundation of China[61620106003] ; 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 |
WOS类目 | Computer Science, Information Systems ; Computer Science, Software Engineering ; Computer Science, Theory & Methods ; Engineering, Electrical & Electronic |
WOS记录号 | WOS:000446601500015 |
出版者 | SPRINGER |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/23041 |
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 |
第一作者单位 | 模式识别国家重点实验室 |
通讯作者单位 | 模式识别国家重点实验室 |
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. |
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