Infrared and visible image fusion targets to provide an informative image by combining
complementary information from different sensors. Existing learning-based fusion …

Cross-modality fusing complementary information from different modalities effectively
improves object detection performance, making it more useful and robust for a wider range …

Pan-sharpening seeks to generate a high-resolution multispectral (HRMS) image by
merging the high-resolution panchromatic (PAN) image and its low-resolution multispectral …

As an important carrier of data, images contain a huge amount of information. The purpose
of image fusion is to integrate the information from source images into a single image. Since …

Infrared and visible image fusion (IVIF) strives to render fused results that preserve the
strengths of the source images (eg, texture details and thermal highlights) while boosting …

Multi-modality image fusion involves integrating complementary information from different
modalities into a single image. Current methods primarily focus on enhancing image fusion …

The goal of infrared and visible image fusion (TVIF) is to integrate the unique advantages of
both modalities to achieve a more comprehensive understanding of a scene. However …

Multi-modal image fusion (MMIF) maps useful information from various modalities into the
same representation space, thereby producing an informative fused image. However, the …

Current infrared and visible image fusion (IVIF) methods lack ground truth and require prior
knowledge to guide the feature fusion process. However, in the fusion process, these …

Typical infrared polarization image fusion aims to integrate background details in the
infrared intensity and salient target in the degree of linear polarization (DoLP). Many fusion …