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
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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. |
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