Image super-resolution by dictionary concatenation and sparse representation with approximate L-0 norm minimization
文献类型：期刊论文
| 作者 | Lu, Jinzheng1,2,3; Zhang, Qiheng; Xu, Zhiyong; Peng, Zhenming2 |
| 刊名 | COMPUTERS & ELECTRICAL ENGINEERING
 |
| 出版日期 | 2012-09-01 |
| 卷号 | 38期号:5页码:1336-1345 |
| 英文摘要 | This paper proposes a different image super-resolution (SR) reconstruction scheme, based on the newly advanced results of sparse representation and the recently presented SR methods via this model. Firstly, we online learn a subsidiary dictionary with the degradation estimation of the given low-resolution image, and concatenate it with main one offline learned from many natural images with high quality. This strategy can strengthen the expressive ability of dictionary atoms. Secondly, the conventional matching pursuit algorithms commonly use a fixed sparsity threshold for sparse decomposition of all image patches, which is not optimal and even introduces annoying artifacts. Alternatively, we employ the approximate L-0 norm minimization to decompose accurately the patch over its dictionary. Thus the coefficients of representation with variant number of nonzero items can exactly weight atoms for those complicated local structures of image. Experimental results show that the proposed method produces high-resolution images that are competitive or superior in quality to results generated by similar techniques. (c) 2011 Elsevier Ltd. All rights reserved. |
| WOS标题词 | Science & Technology ; Technology |
| 类目[WOS] | Computer Science, Hardware & Architecture ; Computer Science, Interdisciplinary Applications ; Engineering, Electrical & Electronic |
| 研究领域[WOS] | Computer Science ; Engineering |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000309693900026 |
| 公开日期 | 2015-12-24 |
| 源URL | [http://ir.ioe.ac.cn/handle/181551/2342]  |
| 专题 | 光电技术研究所_光电技术研究所被WoS收录文章 |
| 作者单位 | 1.Chinese Acad Sci, Inst Opt & Elect, Lab 5, Chengdu 610209, Sichuan Prov, Peoples R China 2.Univ Elect Sci & Technol, Sch Optoelect Informat, Chengdu 610054, Peoples R China 3.SW Univ Sci & Technol, Sch Informat & Engn, Mianyang 621010, Peoples R China |
| 推荐引用方式 GB/T 7714 | Lu, Jinzheng,Zhang, Qiheng,Xu, Zhiyong,et al. Image super-resolution by dictionary concatenation and sparse representation with approximate L-0 norm minimization[J]. COMPUTERS & ELECTRICAL ENGINEERING,2012,38(5):1336-1345. |
| APA | Lu, Jinzheng,Zhang, Qiheng,Xu, Zhiyong,&Peng, Zhenming.(2012).Image super-resolution by dictionary concatenation and sparse representation with approximate L-0 norm minimization.COMPUTERS & ELECTRICAL ENGINEERING,38(5),1336-1345. |
| MLA | Lu, Jinzheng,et al."Image super-resolution by dictionary concatenation and sparse representation with approximate L-0 norm minimization".COMPUTERS & ELECTRICAL ENGINEERING 38.5(2012):1336-1345. |
入库方式： OAI收割
来源：光电技术研究所
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