CORC  > 大连理工大学
Multi-Focus Image Fusion With a Natural Enhancement via a Joint Multi-Level Deeply Supervised Convolutional Neural Network
Zhao, Wenda; Wang, Dong; Lu, Huchuan
刊名IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
2019
卷号29页码:1102-1115
关键词Multi-focus image fusion with enhancement end-to-end CNN architecure joint multi-level feature deep supervision
ISSN号1051-8215
URL标识查看原文
WOS记录号[DB:DC_IDENTIFIER_WOSID]
内容类型期刊论文
URI标识http://www.corc.org.cn/handle/1471x/3219392
专题大连理工大学
作者单位Dalian Univ Technol, Sch Informat & Commun Engn, Dalian 116024, Peoples R China.
推荐引用方式
GB/T 7714
Zhao, Wenda,Wang, Dong,Lu, Huchuan. Multi-Focus Image Fusion With a Natural Enhancement via a Joint Multi-Level Deeply Supervised Convolutional Neural Network[J]. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY,2019,29:1102-1115.
APA Zhao, Wenda,Wang, Dong,&Lu, Huchuan.(2019).Multi-Focus Image Fusion With a Natural Enhancement via a Joint Multi-Level Deeply Supervised Convolutional Neural Network.IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY,29,1102-1115.
MLA Zhao, Wenda,et al."Multi-Focus Image Fusion With a Natural Enhancement via a Joint Multi-Level Deeply Supervised Convolutional Neural Network".IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY 29(2019):1102-1115.
个性服务
查看访问统计
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。


©版权所有 ©2017 CSpace - Powered by CSpace