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Image fusion and super-resolution with convolutional neural network

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成果类型:
期刊论文、会议论文
作者:
Zhong, Jinying;Yang, Bin*;Li, Yuehua;Zhong, Fei;Chen, Zhongze
通讯作者:
Yang, Bin
作者机构:
[Zhong, Fei; Chen, Zhongze; Li, Yuehua; Yang, Bin; Zhong, Jinying] Univ South China, Sch Elect Engn, Hengyang 421001, Peoples R China.
通讯机构:
[Yang, Bin] U
Univ South China, Sch Elect Engn, Hengyang 421001, Peoples R China.
语种:
英文
关键词:
Image fusion;Super-resolution;Convolutional neural network
期刊:
Communications in Computer and Information Science
ISSN:
1865-0929
年:
2016
卷:
663
页码:
78-88
会议名称:
第七届全国模式识别学术会议(The 7th Chinese Conference on Pattern Recognition,CCPR2016)
会议论文集名称:
第七届全国模式识别学术会议(The 7th Chinese Conference on Pattern Recognition,CCPR2016)论文集
会议时间:
2016-11-03
会议地点:
成都
会议主办单位:
[Zhong, Jinying;Yang, Bin;Li, Yuehua;Zhong, Fei;Chen, Zhongze] Univ South China, Sch Elect Engn, Hengyang 421001, Peoples R China.
会议赞助商:
中国自动化学会
主编:
Tan, T Li, X Chen, X Zhou, J Yang, J Cheng, H
出版地:
152 BEACH ROAD, #21-01/04 GATEWAY EAST, SINGAPORE, 189721, SINGAPORE
出版者:
SPRINGER-VERLAG SINGAPORE PTE LTD
ISBN:
978-981-10-3005-5; 978-981-10-3004-8
基金类别:
National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [61102108]; Scientific Research Fund of Hunan Provincial Education DepartmentHunan Provincial Education Department [YB2013B039]; Young talents program of the University of South China; construct program of key disciplines in USC [NHXK04]
机构署名:
本校为第一且通讯机构
院系归属:
电气工程学院
摘要:
Image fusion aims to integrate multiple images of the same scene into an artificial image which contains more useful information than any individual one. Due to the constraints of imaging sensors and signal transmission broadband, the resolution of most source images is limited. In traditional processing framework, super-resolution is conducted to improve the resolution of the source images before the fusion operations. However, those super-resolution methods do not make full use of the multi-resolution characteristics of images. In this paper, a novel jointed image fusion and super-resolution...

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