EgeFusion: Towards Edge Gradient Enhancement in Infrared and Visible Image Fusion With Multi-Scale Transform-Reference-Cited by-同舟云学术

EgeFusion: Towards Edge Gradient Enhancement in Infrared and Visible Image Fusion With Multi-Scale Transform

Published:2024 Issue: Volume:10 Page:385-398
ISSN:2333-9403
Container-title:IEEE Transactions on Computational Imaging
language:
Short-container-title:IEEE Trans. Comput. Imaging

Author:

Tang Haojie¹^ORCID,Liu Gang¹^ORCID,Qian Yao¹^ORCID,Wang Jiebang¹^ORCID,Xiong Jinxin¹^ORCID

Affiliation:

1. College of Automation Engineering, Shanghai university of Electric Power, Shanghai, China

Funder

National Natural Science Foundation of China

Shanghai Special Plan for Local Colleges and Universities for Capacity Building

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6745852/10398876/10449422.pdf?arnumber=10449422

Reference72 articles.

1. Infrared and visible image fusion methods and applications: A survey

2. STDFusionNet: An Infrared and Visible Image Fusion Network Based on Salient Target Detection

3. FusionGRAM: An Infrared and Visible Image Fusion Framework Based on Gradient Residual and Attention Mechanism

4. Infrared and Visible Image Fusion via Interactive Compensatory Attention Adversarial Learning

5. An object detection algorithm based on decision-level fusion of visible light image and infrared image;Bai;J. Air Force Eng. Univ. Natural Sci. Ed.,2020

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