TGLFusion: A Temperature-Guided Lightweight Fusion Method for Infrared and Visible Images

TGLFusion: A Temperature-Guided Lightweight Fusion Method for Infrared and Visible Images

The fusion of infrared and visible images is a well-researched task in computer vision. These fusion methods create fused images replacing the manual observation of single sensor image, often deployed on edge devices for real-time processing. However, there is an issue of information imbalance betwe...

Full description

Bibliographic Details
Main Authors:	Bao Yan, Longjie Zhao, Kehua Miao, Song Wang, Qinghua Li, Delin Luo
Format:	Article
Language:	English
Published:	MDPI AG 2024-03-01
Series:	Sensors
Subjects:	deep learning image fusion infrared and visible sensor images lightweight model electric power equipment
Online Access:	https://www.mdpi.com/1424-8220/24/6/1735

Similar Items

Multi-scale attention-based lightweight network with dilated convolutions for infrared and visible image fusion
by: Fuquan Li, et al.
Published: (2023-08-01)

Deep Learning-Based Infrared and Visible Image Fusion: A Survey
by: WANG Enlong, LI Jiawei, LEI Jia, ZHOU Shihua
Published: (2024-04-01)

Infrared and Visible Image Fusion Technology and Application: A Review
by: Weihong Ma, et al.
Published: (2023-01-01)

Lightweight Infrared and Visible Image Fusion Based on Nested Connections and Res2Net
by: Yi Peng, et al.
Published: (2024-05-01)

Maritime Infrared and Visible Image Fusion Based on Refined Features Fusion and Sobel Loss
by: Zongjiang Gao, et al.
Published: (2022-08-01)

SCFusion: Infrared and Visible Fusion Based on Salient Compensation
by: Haipeng Liu, et al.
Published: (2023-06-01)

HDCTfusion: Hybrid Dual-Branch Network Based on CNN and Transformer for Infrared and Visible Image Fusion
by: Wenqing Wang, et al.
Published: (2024-12-01)

Combining Regional Energy and Intuitionistic Fuzzy Sets for Infrared and Visible Image Fusion
by: Xiaoxue Xing, et al.
Published: (2021-11-01)

Infrared and Visible Image Fusion Methods for Unmanned Surface Vessels with Marine Applications
by: Renran Zhang, et al.
Published: (2022-04-01)

DDFNet-A: Attention-Based Dual-Branch Feature Decomposition Fusion Network for Infrared and Visible Image Fusion
by: Qiancheng Wei, et al.
Published: (2024-05-01)

IFormerFusion: Cross-Domain Frequency Information Learning for Infrared and Visible Image Fusion Based on the Inception Transformer
by: Zhang Xiong, et al.
Published: (2023-02-01)

Infrared and Visible Image Fusion Based on Autoencoder Composed of CNN-Transformer
by: Hongmei Wang, et al.
Published: (2023-01-01)

Fusion2Fusion: An Infrared–Visible Image Fusion Algorithm for Surface Water Environments
by: Cheng Lu, et al.
Published: (2023-04-01)

FERFusion: A Fast and Efficient Recursive Neural Network for Infrared and Visible Image Fusion
by: Kaixuan Yang, et al.
Published: (2024-04-01)

ECFuse: Edge-Consistent and Correlation-Driven Fusion Framework for Infrared and Visible Image Fusion
by: Hanrui Chen, et al.
Published: (2023-09-01)

Infrared and Visible Image Fusion via Sparse Representation and Guided Filtering in Laplacian Pyramid Domain
by: Liangliang Li, et al.
Published: (2024-10-01)

MEEAFusion: Multi-Scale Edge Enhancement and Joint Attention Mechanism Based Infrared and Visible Image Fusion
by: Yingjiang Xie, et al.
Published: (2024-09-01)

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)

A Generative Adversarial Network for Infrared and Visible Image Fusion Based on Semantic Segmentation
by: Jilei Hou, et al.
Published: (2021-03-01)

A Novel Infrared and Visible Image Fusion Approach Based on Adversarial Neural Network
by: Xianglong Chen, et al.
Published: (2021-12-01)

MGFusion: a multimodal large language model-guided information perception for infrared and visible image fusion
by: Zengyi Yang, et al.
Published: (2024-12-01)

MFST: Multi-Modal Feature Self-Adaptive Transformer for Infrared and Visible Image Fusion
by: Xiangzeng Liu, et al.
Published: (2022-07-01)

OMOFuse: An Optimized Dual-Attention Mechanism Model for Infrared and Visible Image Fusion
by: Jianye Yuan, et al.
Published: (2023-12-01)

TPFusion: Texture Preserving Fusion of Infrared and Visible Images via Dense Networks
by: Zhiguang Yang, et al.
Published: (2022-02-01)

GF-Detection: Fusion with GAN of Infrared and Visible Images for Vehicle Detection at Nighttime
by: Peng Gao, et al.
Published: (2022-06-01)

Multi-scale Fusion of Stretched Infrared and Visible Images
by: Weibin Jia, et al.
Published: (2022-09-01)

Infrared and visible image fusion method based on target enhancement and rat swarm optimization
by: HAO Shuai, et al.
Published: (2024-08-01)

Infrared and Visible Image Fusion: Methods, Datasets, Applications, and Prospects
by: Yongyu Luo, et al.
Published: (2023-09-01)

A Novel Saliency-Based Decomposition Strategy for Infrared and Visible Image Fusion
by: Biao Qi, et al.
Published: (2023-05-01)

Infrared-Visible Image Fusion Based on Semantic Guidance and Visual Perception
by: Xiaoyu Chen, et al.
Published: (2022-09-01)

High Efficient Spatial and Radiation Information Mutual Enhancing Fusion Method for Visible and Infrared Image
by: Zongzhen Liu, et al.
Published: (2024-01-01)

FECFusion: Infrared and visible image fusion network based on fast edge convolution
by: Zhaoyu Chen, et al.
Published: (2023-08-01)

DCFNet: Infrared and Visible Image Fusion Network Based on Discrete Wavelet Transform and Convolutional Neural Network
by: Dan Wu, et al.
Published: (2024-06-01)

Tone Image Classification and Weighted Learning for Visible and NIR Image Fusion
by: Chan-Gi Im, et al.
Published: (2022-10-01)

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)

DDGANSE: Dual-Discriminator GAN with a Squeeze-and-Excitation Module for Infrared and Visible Image Fusion
by: Jingjing Wang, et al.
Published: (2022-03-01)

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)

MVF: A Novel Infrared and Visible Image Fusion Approach Based on the Morphing Convolutional Structure and the Light-Weight Visual State Space Block
by: Gulimila Kezierbieke, et al.
Published: (2024-01-01)

DSA-Net: Infrared and Visible Image Fusion via Dual-Stream Asymmetric Network
by: Ruyi Yin, et al.
Published: (2023-08-01)

Fusion of infrared and visible images via multi-layer convolutional sparse representation
by: Zhouyu Zhang, et al.
Published: (2024-07-01)