Ensemble based deep networks for image super-resolution

doi:10.1016/j.patcog.2017.02.027

CASIA OpenIR > 多模态人工智能系统全国重点实验室 > 先进时空数据分析与学习

	Ensemble based deep networks for image super-resolution
	Wang, Lingfeng; Huang, Zehao; Gong, Yongchao; Pan, Chunhong
发表期刊	PATTERN RECOGNITION
	2017-08-01
卷号	68 期号:null 页码:191-198
文章类型	Article
摘要	There 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.
关键词	Super-resolution Ensemble Sparse Prior Deep Networks
WOS标题词	Science & Technology ; Technology
DOI	10.1016/j.patcog.2017.02.027
收录类别	SCI
语种	英语
项目资助者	National Natural Science Foundation of China(61403376 ; 91646207 ; 61370039)
WOS研究方向	Computer Science ; Engineering
WOS类目	Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS记录号	WOS:000401381100014
引用统计	被引频次：52[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/14495
专题	多模态人工智能系统全国重点实验室_先进时空数据分析与学习
通讯作者	Wang, Lingfeng
作者单位	Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
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	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.

条目包含的文件
文件名称/大小	文献类型	版本类型	开放类型	使用许可
Ensemble based deep （1948KB）	期刊论文	作者接受稿	开放获取	CC BY-NC-SA	浏览下载