A Cross-Scale Iterative Attentional Adversarial Fusion Network for Infrared and Visible Images-Reference-Cited by-同舟云学术

A Cross-Scale Iterative Attentional Adversarial Fusion Network for Infrared and Visible Images

Published:2023-08 Issue:8 Volume:33 Page:3677-3688
ISSN:1051-8215
Container-title:IEEE Transactions on Circuits and Systems for Video Technology
language:
Short-container-title:IEEE Trans. Circuits Syst. Video Technol.

Author:

Wang Zhishe¹^ORCID,Shao Wenyu¹^ORCID,Chen Yanlin¹^ORCID,Xu Jiawei²^ORCID,Zhang Lei³^ORCID

Affiliation:

1. Shanxi Center of Technology Innovation for Light Manipulations and Applications, School of Applied Science, Taiyuan University of Science and Technology, Taiyuan, China

2. Key Laboratory of Intelligent Informatics for Safety and Emergency of Zhejiang Province, Wenzhou University, Wenzhou, China

3. School of Mechatronic Engineering, Nanyang Normal University, Nanyang, China

Funder

Open Foundation of Shanxi Key Laboratory of Signal Capturing and Processing

Outstanding Graduate Student Innovation Program of Taiyuan University of Science and Technology

Zhejiang Provincial Natural Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Media Technology

Link

http://xplorestaging.ieee.org/ielx7/76/10207864/10025779.pdf?arnumber=10025779

Reference50 articles.

1. IFCNN: A general image fusion framework based on convolutional neural network

2. DIDFuse: Deep Image Decomposition for Infrared and Visible Image Fusion

3. RXDNFuse: A aggregated residual dense network for infrared and visible image fusion

4. VIF-Net: An Unsupervised Framework for Infrared and Visible Image Fusion

5. DenseFuse: A fusion approach to infrared and visible images;li;IEEE Trans Image Process,2018

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