CASIA OpenIR  > 模式识别国家重点实验室  > 先进数据分析与学习
Ensemble based deep networks for image super-resolution
Wang, Lingfeng; Huang, Zehao; Gong, Yongchao; Pan, Chunhong
Source PublicationPATTERN RECOGNITION
2017-08-01
Volume68Issue:nullPages:191-198
SubtypeArticle
AbstractThere have been significant advances in deep learning based single-image super-resolution (SISR) recently. With the advantage of deep neural networks, deep learning based methods can learn the mapping from low-resolution (LR) space to high-resolution (HR) space in an end-to-end manner. However, most of them only use a single model to generate HR result. This brings two drawbacks: (1) the risk of getting stuck in local optima and (2) the limited representational ability of single model when handling various input LR images. To overcome these problems, we novelly suggest a general way through introducing the idea of ensemble into SR task. Furthermore, instead of simple averaging, we propose a back-projection method to determine the weights of different models adaptively. In this paper, we focus on sparse coding network and propose ensemble based sparse coding network (ESCN). Through the combination of multiple models, our ESCN can generate more robust reconstructed results and achieve state-of-the-art performance. (C) 2017 Elsevier Ltd. All rights reserved.
KeywordSuper-resolution Ensemble Sparse Prior Deep Networks
WOS HeadingsScience & Technology ; Technology
DOI10.1016/j.patcog.2017.02.027
Indexed BySCI
Language英语
Funding OrganizationNational Natural Science Foundation of China(61403376 ; 91646207 ; 61370039)
WOS Research AreaComputer Science ; Engineering
WOS SubjectComputer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS IDWOS:000401381100014
Citation statistics
Cited Times:14[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/14495
Collection模式识别国家重点实验室_先进数据分析与学习
Corresponding AuthorWang, Lingfeng
AffiliationChinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
First Author AffilicationChinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
Corresponding Author AffilicationChinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
Recommended Citation
GB/T 7714
Wang, Lingfeng,Huang, Zehao,Gong, Yongchao,et al. Ensemble based deep networks for image super-resolution[J]. PATTERN RECOGNITION,2017,68(null):191-198.
APA Wang, Lingfeng,Huang, Zehao,Gong, Yongchao,&Pan, Chunhong.(2017).Ensemble based deep networks for image super-resolution.PATTERN RECOGNITION,68(null),191-198.
MLA Wang, Lingfeng,et al."Ensemble based deep networks for image super-resolution".PATTERN RECOGNITION 68.null(2017):191-198.
Files in This Item: Download All
File Name/Size DocType Version Access License
Ensemble based deep (1948KB)期刊论文作者接受稿开放获取CC BY-NC-SAView Download
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Wang, Lingfeng]'s Articles
[Huang, Zehao]'s Articles
[Gong, Yongchao]'s Articles
Baidu academic
Similar articles in Baidu academic
[Wang, Lingfeng]'s Articles
[Huang, Zehao]'s Articles
[Gong, Yongchao]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Wang, Lingfeng]'s Articles
[Huang, Zehao]'s Articles
[Gong, Yongchao]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: Ensemble based deep networks for image super-resolution.pdf
Format: Adobe PDF
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.