Conceitos essenciais
Introducing Text-IF, a novel approach that leverages semantic text guidance for degradation-aware and interactive image fusion.
Resumo
Introduction
Image fusion combines information from different source images.
Visible and infrared image fusion focuses on complementary information.
Proposed Approach: Text-IF
Introduces text-guided image fusion for complex scenes with degradations.
Utilizes semantic text guidance for interactive high-quality fusion results.
Data Extraction
"Extensive experiments prove that our proposed text guided image fusion strategy has obvious advantages over SOTA methods in the image fusion performance and degradation treatment."
Fusion Approaches
Simple fusion approach lacks adaptability to complex scenes with degradations.
Separated approach requires frequent restoration methods switching, leading to unsatisfactory performance.
Proposed text-guided approach achieves interactive and high-quality fusion without model replacement.
Degradation Challenges
Visible images suffer from low light issues, while infrared images face noise and contrast problems.
Text Interaction Guidance Architecture
Combines text semantic encoder and semantic interaction guidance module for flexible fusion outcomes.
Loss Functions
Intensity, structural similarity, maximum gradient, and color consistency losses contribute to high-quality fusion results.
Estatísticas
Extensive experiments prove that our proposed text guided image fusion strategy has obvious advantages over SOTA methods in the image fusion performance and degradation treatment.