Multi-feature decomposition and transformer-fusion: an infrared and visible image fusion network based on multi-feature decomposition and transformer

Xujun Li; Zhicheng Duan; Jia Chang

doi:10.1117/1.jei.33.6.063053

ScienceGate Book Chapters

JOURNAL ARTICLE

Multi-feature decomposition and transformer-fusion: an infrared and visible image fusion network based on multi-feature decomposition and transformer

Xujun Li Zhicheng Duan Jia Chang

Year: 2024 Journal: Journal of Electronic Imaging Vol: 33 (06) Publisher: SPIE

DOI: 10.1117/1.jei.33.6.063053

Get Full-Text PDF Get Analytical Report

Keywords:

Artificial intelligence Feature extraction Computer science Encoder Pattern recognition (psychology) Transformer Computer vision Feature (linguistics) Image fusion Engineering Image (mathematics)

Metrics

Cited By

0.00

FWCI (Field Weighted Citation Impact)

Refs

0.38

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Topics

Advanced Image Fusion Techniques

Physical Sciences → Engineering → Media Technology

Infrared Target Detection Methodologies

Physical Sciences → Engineering → Aerospace Engineering

Infrared Thermography in Medicine

Health Sciences → Medicine → Radiology, Nuclear Medicine and Imaging

Multi-feature decomposition and transformer-fusion: an infrared and visible image fusion network based on multi-feature decomposition and transformer

Metrics

Topics

Related Documents

Infrared and Visible Image Fusion via Multi-modal Feature Decomposition Transformer

Decomposition-driven Multi-level Feature Fusion Framework for Infrared and Visible Image Fusion

Multi-Feature Fusion Network for Infrared and Visible Image Fusion

MFST: Multi-Modal Feature Self-Adaptive Transformer for Infrared and Visible Image Fusion

Infrared and visible image fusion based on relative total variation and multi feature decomposition