TPFusion: Texture Preserving Fusion of Infrared and Visible Images via Dense Networks
In this paper, we design an infrared (IR) and visible (VIS) image fusion via unsupervised dense networks, termed as TPFusion. Activity level measurements and fusion rules are indispensable parts of conventional image fusion methods. However, designing an appropriate fusion process is time-consuming...
Main Authors: | Zhiguang Yang, Shan Zeng |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-02-01
|
Series: | Entropy |
Subjects: | |
Online Access: | https://www.mdpi.com/1099-4300/24/2/294 |
Similar Items
-
Dense-FG: A Fusion GAN Model by Using Densely Connected Blocks to Fuse Infrared and Visible Images
by: Xiaodi Xu, et al.
Published: (2023-04-01) -
Infrared and visible image fusion based on particle swarm optimization and dense block
by: Jing Zhang, et al.
Published: (2022-08-01) -
DCFusion: Dual-Headed Fusion Strategy and Contextual Information Awareness for Infrared and Visible Remote Sensing Image
by: Qin Pu, et al.
Published: (2022-12-01) -
Infrared and visible image fusion algorithm based on gradient attention residuals dense block
by: Yongyu Luo, et al.
Published: (2024-11-01) -
Infrared and Visible Image Fusion Using a Deep Unsupervised Framework With Perceptual Loss
by: Dongdong Xu, et al.
Published: (2020-01-01)