Infrared and visible image fusion algorithm based on gradient attention residuals dense block
The purpose of infrared and visible image fusion is to obtain an image that includes both infrared target and visible information. However, among the existing infrared and visible image fusion methods, some of them give priority to the fusion effect, often with complex design, ignoring the influence...
Saved in:
| Main Authors: | Yongyu Luo, Zhongqiang Luo |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
PeerJ Inc.
2024-11-01
|
| Series: | PeerJ Computer Science |
| Subjects: | |
| Online Access: | https://peerj.com/articles/cs-2569.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Leukocyte segmentation based on DenseREU-Net
by: Jie Meng, et al.
Published: (2024-12-01) -
Enhancement Infrared-Visible Image Fusion Using the Integration of Stationary Wavelet Transform and Fuzzy Histogram Equalization
by: Rusul Basheer Khazal, et al.
Published: (2022-12-01) -
MGFusion: a multimodal large language model-guided information perception for infrared and visible image fusion
by: Zengyi Yang, et al.
Published: (2024-12-01) -
Spatiotemporal squeeze-and-excitation residual multiplier network for video action recognition
by: Huilan LUO, et al.
Published: (2019-10-01) -
ID-UNet: A densely connected UNet architecture for infrared small target segmentation
by: Diankun Chen, et al.
Published: (2025-01-01)