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.
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.
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