Hierarchical Fusion of Infrared and Visible Images Based on Channel Attention Mechanism and Generative Adversarial Networks
In order to solve the problem that existing visible and infrared image fusion methods rely only on the original local or global information representation, which has the problem of edge blurring and non-protrusion of salient targets, this paper proposes a layered fusion method based on channel atten...
Saved in:
| Main Authors: | Jie Wu, Shuai Yang, Xiaoming Wang, Yu Pei, Shuai Wang, Congcong Song |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-10-01
|
| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/24/21/6916 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Infrared and Visible Image Fusion Using a State-Space Adversarial Model with Cross-Modal Dependency Learning
by: Qingqing Hu, et al.
Published: (2025-07-01) -
PS-GAN: Pseudo Supervised Generative Adversarial Network With Single Scale Retinex Embedding for Infrared and Visible Image Fusion
by: Jin Qi, et al.
Published: (2025-01-01) -
Research on Finger image Enhancement Algorithm Based on Fusion Histogram Equalization and Homomorphic Filtering
by: ZHAO Chun li, et al.
Published: (2019-12-01) -
Rethinking Infrared and Visible Image Fusion from a Heterogeneous Content Synergistic Perception Perspective
by: Minxian Shen, et al.
Published: (2025-07-01) -
Ultra-wideband digital channel modeling based on generative adversarial network
by: ZHUGE Bin, et al.
Published: (2024-11-01)