OPT OpenIR  > 飞行器光学成像与测量技术研究室
A Novel PDE-Based Single Image Super-Resolution Reconstruction Method
Zhao, Xiaodong1,2; Cao, Jianzhong1; Zhou, Zuofeng1; Huang, Jijiang1
作者部门动态光学成像研究室
2017-06-01
发表期刊INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE
ISSN0218-0014
卷号31期号:6
产权排序1
摘要

For applications such as remote sensing imaging and medical imaging, high-resolution (HR) images are urgently required. Image Super-Resolution (SR) reconstruction has great application prospects in optical imaging. In this paper, we propose a novel unified Partial Differential Equation (PDE)-based method to single image SR reconstruction. Firstly, two directional diffusion terms calculated by Anisotropic Nonlinear Structure Tensor (ANLST) are constructed, combing information of all channels to prevent singular results, making full use of its directional diffusion feature. Secondly, by introducing multiple orientations estimation using high order matrix-valued tensor instead of gradient, orientations can be estimated more precisely for junctions or corners. As a unique descriptor of orientations, mixed orientation parameter (MOP) is separated into two orientations by finding roots of a second-order polynomial in the nonlinear part. Then, we synthesize a Gradient Vector Flow (GVF) shock filter to balance edge enhancement and de-noising process. Experimental results confirm the validity of the method and show that the method enhances image edges, restores corners or junctions, and suppresses noise robustness, which is competitive with the existing methods.

文章类型Article
关键词Anisotropic Nonlinear Structure Tensor Gvf Orientations Estimation Partial Differential Equation Super-resolution
WOS标题词Science & Technology ; Technology
DOI10.1142/S0218001417540106
收录类别SCI ; EI
关键词[WOS]GRADIENT VECTOR FLOW ; ANISOTROPIC DIFFUSION ; SPARSE REPRESENTATION ; SHOCK FILTERS ; INTERPOLATION ; SEGMENTATION ; SNAKES
语种英语
WOS研究方向Computer Science
项目资助者West Light of Chinese Academy of Sciences(Y429611213 ; Y429631213)
WOS类目Computer Science, Artificial Intelligence
WOS记录号WOS:000399074600005
引用统计
被引频次:4[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.opt.ac.cn/handle/181661/28739
专题飞行器光学成像与测量技术研究室
作者单位1.Chinese Acad Sci, Xian Inst Opt & Precis Mech, Xian 710119, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
推荐引用方式
GB/T 7714
Zhao, Xiaodong,Cao, Jianzhong,Zhou, Zuofeng,et al. A Novel PDE-Based Single Image Super-Resolution Reconstruction Method[J]. INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE,2017,31(6).
APA Zhao, Xiaodong,Cao, Jianzhong,Zhou, Zuofeng,&Huang, Jijiang.(2017).A Novel PDE-Based Single Image Super-Resolution Reconstruction Method.INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE,31(6).
MLA Zhao, Xiaodong,et al."A Novel PDE-Based Single Image Super-Resolution Reconstruction Method".INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE 31.6(2017).
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
A Novel PDE-Based Si(674KB)期刊论文出版稿限制开放CC BY-NC-SA请求全文
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Zhao, Xiaodong]的文章
[Cao, Jianzhong]的文章
[Zhou, Zuofeng]的文章
百度学术
百度学术中相似的文章
[Zhao, Xiaodong]的文章
[Cao, Jianzhong]的文章
[Zhou, Zuofeng]的文章
必应学术
必应学术中相似的文章
[Zhao, Xiaodong]的文章
[Cao, Jianzhong]的文章
[Zhou, Zuofeng]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。