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Single Image Super-Resolution via Mixed Examples and Sparse Representation
Liu, Weirong1; Shi, Changhong1; Liu, Chaorong2; Liu, Jie3
2017
关键词super-resolution sparse representation mixed example selection method discriminative dictionaries
DOI10.1109/ACPR.2017.110
页码730-734
英文摘要Existing super-resolution (SR) methods can be divided into two classes: the external examples SR and the internal examples SR. Although these two types of methods have been achieved satisfactory results, such methods are limited by their inherent flaws. This paper proposes mixed example selection method for combining the external examples with the internal examples. We cluster the internal examples into K classes, and select the similar external examples for every cluster to enrich the training database. And then we learn K discriminative dictionaries for the K cluster examples. Finally, we reconstruct the low resolution images with the learned discriminative dictionaries. Experiments validate the effectiveness of the proposed method in terms of visual and quantitative assessments.
会议录PROCEEDINGS 2017 4TH IAPR ASIAN CONFERENCE ON PATTERN RECOGNITION (ACPR)
会议录出版者IEEE
会议录出版地345 E 47TH ST, NEW YORK, NY 10017 USA
语种英语
资助项目National Natural Science Foundation of China[61461028] ; Natural Science Foundation of Gansu Province[1508RJZA092]
WOS研究方向Computer Science
WOS记录号WOS:000455581900124
内容类型会议论文
源URL[http://119.78.100.223/handle/2XXMBERH/36230]  
专题电气工程与信息工程学院
党委教师工作部(人事处、教师发展中心)
通讯作者Liu, Weirong
作者单位1.Lanzhou Univ Technol, Coll Elect & Informat Engn, Lanzhou 730050, Gansu, Peoples R China
2.Lanzhou Univ Technol, Key Lab Gansu Adv Control Ind Proc, Lanzhou 730050, Gansu, Peoples R China
3.Lanzhou Univ Technol, Natl Demonstrat Ctr Expt Elect & Control Engn Edu, Lanzhou 730050, Gansu, Peoples R China
推荐引用方式
GB/T 7714
Liu, Weirong,Shi, Changhong,Liu, Chaorong,et al. Single Image Super-Resolution via Mixed Examples and Sparse Representation[C]. 见:.
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