A comprehensive survey on image fusion: Which approach fits which need

Published: 01 Jan 2026, Last Modified: 06 Nov 2025Inf. Fusion 2026EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•Classification of fusion methods into mono- and multi-category approaches.•Identification of multi-category fusion methods with unified architectures.•Evaluation of fusion performance using benchmark datasets and objective metrics.•Discussion of challenges in generalization, interpretability, and multi-view fusion.
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