Infrared–visible image fusion for robust visual perception: methods, benchmarks, evaluation and open challenges
This survey reviews recent progress in infrared–visible image fusion, with emphasis on deep learning methods published between 2018 and 2025, and outlines future directions towards robust, interpretable and resource-efficient fusion systems supported by transparent search protocols, community benchmarks, reproducible comparisons and application-specific evaluation.