Heterogeneous Image Fusion involves combining information from images captured by different sensors or modalities. The goal is to create a unified representation that benefits from the complementary strengths of each modality.


Degradation-Resistant Unfolding Network for Heterogeneous Image Fusion

Heterogeneous image fusion (HIF) aims to enhance image quality by merging complementary information of images captured by different sensors. Early model-based approaches have strong interpretability while being limited by non-adaptive feature extractors with poor generalizability.